人口統計学

ハイライト グローバル株式は大きな調整に非常に脆弱である。しかし景気循環的には米連邦準備制度（FRB）はインフレの上振れを容認する姿勢を取っており、世界経済は回復している。 中国の財政・信用インパルスが急低下しており、これによりグローバルの景気循環株およびコモディティは下押しを受けやすい。 短期を越えれば、中国の政治的安定の必要性が過度な政策引き締めを防ぐはずだ。リスクは前倒しになっている。 中国の国勢調査は当社のメガテーマの一つを裏付けている：中国の国内政治は不安定であり、ネガティブなサプライズをもたらし得る。 インドの州選挙は大規模なCOVID-19の波の最中に実施されたが、与党が2024年にも依然有利であることを示唆している。これは政策の継続を意味する。 景気循環派の強気バイアスを維持するが、中国が政策ミスを犯した場合には方針転換する準備をしておくこと。 特集 チャート 1 インフレ再浮上 インフレが頭をもたげる インフレが頭をもたげる 今週、米国のコアインフレが強く出たことと、長く眠っていたインフレが再び頭をもたげることへの幅広い懸念を受けて、グローバル市場は震撼した（チャート 1）。 景気循環的には、世界経済の回復に伴い投資家は米国株から国際株へローテーションし、米ドルは下落すると引き続き見ている（チャート 2）。しかしこの見方は、新興国株が先進国株に対してアウトパフォームし始めるべきだということも含んでおり、今年これまでのところはそれが実現していない。新興市場はテクノロジーに偏っており、米国の長期金利上昇に脆弱なだけでなく、中国の景気刺激がピークに達した今、さらに困難に直面している。 チャート 2 株式市場の動揺 株式市場が動揺 株式市場が動揺 チャート 3 世界経済とセンチメントの回復 世界経済とセンチメントは回復しつつある 世界経済とセンチメントは回復しつつある チャート 4 景気循環株対ディフェンシブの揺らぎ グローバルのシクリカル株とディフェンシブ株が揺らいでいる グローバルのシクリカル株とディフェンシブ株が揺らいでいる 我々が頼れる一つの事実は、COVID-19ワクチンの展開が続くことで世界的な成長回復を後押しするという点である（チャート 3）。米ドルもそれを示唆している。ドルは第1四半期に米国の相対的成長優位で反発したが、その後は下落に転じている。ドル安はディフェンシブに対して景気循環株にとってポジティブだが、景気循環株は短期的にはリフレーショントレードが過熱していることを示している（チャート 4）。 中国の成長が今や重要な焦点になる。中国の政策ミスは強気の景気循環見通しを覆すだろう。中国の金融・財政政策の引き締めは、今年我々が強調してきた主要なグローバルな政策リスクであり、今まさに顕在化している。しかし我々は引き締めの制約も指摘してきた。現時点で中国は我々のベンチマークによれば過度な引き締めの瀬戸際に立っている。さらなる引き締めが行われれば、我々は本質的によりディフェンシブな見方に転じるだろう。 本レポートではまた、中国の国勢調査の結果と、最新の大波のCOVID-19感染のもとで行われたインドの最近の州選の含意を検討する。我々はまだインドに対する強気見解を変更していないが、注視している。 中国：過度引き締めリスク 中国の問題は、対外貿易依存から内需依存への経済モデルの継続的な変化に起因している。これは習近平国家主席の台頭以前に共産党が採った戦略的決定であり、習はそれを体現し、戦略的ビジョンと米国との対立を通じて強化してきた。 北京の目標は滑らかで安定した移行を管理することだった。2015年の金融混乱や2018-19年の貿易戦争はその目標を危うくしたが、政策当局は最終的に持ちこたえた。そこへCOVID-19が発生し、1970年代以来の本格的な経済縮小をもたらした。中国はウイルスを抑え込み、貿易戦争開始から2021年のピークまでにGDP比13.8%に上る別の大規模な刺激で回復したが、今やさらに困難な移行に直面している。 チャート 5 中国の上昇する貯蓄傾向 中国の貯蓄傾向の高まり 中国の貯蓄傾向の高まり 潜在GDPが鈍化していることを考えると生活水準の改善の必要性は一層切迫している。債務の大幅な増加に鑑みると体系的な金融リスクを抑制する必要性も一層切迫している。米国が中国に対抗する民主諸国の連合を形成している今、経済の多角化の必要性も高まっている。長期預金比率などで測られる中国の家計・企業の「限界貯蓄性向」の急上昇は、国が困難に直面しアニマルスピリッツが抑えられていることの兆候である（チャート 5）。 2018-21年の大規模拡大の後、中国の財政・信用インパルスは低下に転じている。政策当局は昨年以降、緊急的な刺激を引き揚げるシグナルを出しており、その影響はハードデータに現れている。中国のマネー、クレジット、そして財政とクレジットを合わせたインパルスはいずれも、6〜9か月のラグの後に経済成長と相関する。これは中国のマネーとクレジットサイクルや経済活動を測る指標がどれであれ当てはまる（チャート 6Aおよびチャート 6B）。中国の経済モメンタムはピークに達しており、世界がワクチンと経済再開の追い風を享受しているにもかかわらず、今年後半から2022年にかけて世界経済にとって逆風となるだろう。 チャート 6A 中国の財政・信用インパルスが急落 … 中国の財政・信用インパルスが急落… 中国の財政・信用インパルスが急落… チャート 6B … マネー・アンド・クレジットのインパルスも同様に低下 ... マネー・アンド・クレジットのインパルスも同様である ... マネー・アンド・クレジットのインパルスも同様である 財政・信用インパルスのダウンシフトは、特に国内消費向けに中国が輸入するコモディティ、マテリアル、およびその他財の需要の鈍化を予示している（中国の輸出向け製造に投入される部品や中間財の輸入は、世界の回復とともに比較的健全に見える）。このシフトは、スウェーデン株などの中国関連プレイや急騰している金属価格が調整なしに上昇を続けることを困難にするだろう（チャート 7）。投機筋のポジショニングは現時点でコモディティに偏っている。中国とそれが支配する金属市場との乖離は短期的には耐え難いように見える（チャート 8）。 チャート 7 中国のリフレーショントレードはピーク付近 中国のリフレーショントレードはピーク付近 中国のリフレーショントレードはピーク付近 チャート 8 マネーサイクルとコモディティ価格の衝突 マネーサイクルとコモディティ価格の衝突 マネーサイクルとコモディティ価格の衝突 世界的なグリーンや再生可能エネルギーシステムへの移行（すなわち脱炭素化）は銅をはじめ金属にとって強気だが、短期的には中国の需要減を補うことはできないことを、我々のエマージング・マーケッツ・ストラテジーが示している。中国の建設・産業向けの銅の国内需要は世界総需要の約56.5%を占める一方、グリーンエネルギー競争（太陽光パネル、風力発電、電気自動車の生産等）は世界需要の約3.5%にすぎない。 この数値は既存のシステムや構造の再調整やレトロフィット（例：電力網）も見込まれているためグリーン計画をやや過小評価している面はある。しかし要点は、米国および欧州の消費が大幅に増加しても、中国の銅消費が減少すればそれに逆行することだ。特に米国のインフラ計画が早くても2022年まで本格的に始動しないことを考えれば、今後12か月で中国の影響で世界の銅需要は減速するだろう。 中国の政策当局はまだ過度な引き締めを懸念している、あるいは新たに政策を緩和する意思を示したわけではない。4月末の政治局会議は12月の中央経済工作会議や3月の政府活動報告から大きな政策変更を含んでいなかった（表 1）。しかしもし差異があるとすれば、昨年の緊急感をさらに後退させつつも、地方政府幹部を隠れ債務に対して説明責任を負わせるような何らかの仕組みを示唆した点にある。含意は引き続き引き締め的な政策であり、したがって過度の引き締めリスクは依然として大きい。 表 1 中国の最近のマクロ経済政策表明：刺激の縮小 中国は過度な金融引き締めの瀬戸際にある 中国は過度な金融引き締めの瀬戸際にある チャート 9 中国の政策引き締めのベンチマーク 中国の政策引き締めのベンチマーク 中国の政策引き締めのベンチマーク 確かに4月会議の「お茶の葉」は様々に読み取ることができる。4月の声明はマクロ経済政策指針から「必要な政策支援を維持する」という文言を外しており、これは経済への支援を減らすことを意味する可能性がある。しかし同時に、マネーサプライ（M2）とクレジット成長（社会融資総量）を名目GDP成長に合わせるという目標も外れており、これはクレジット成長の新たな上振れを許容するものと見なすこともできる。とはいえ中国人民銀行は第1四半期の金融政策報告書でこのクレジット目標を維持しており、確信は持てない。このルーブリックによれば、中国は我々がリスクを測るために用いる「過度引き締め」の瀬戸際にあることに注意されたい（チャート 9）。 過去20年の中国の政策運営に基づけば、我々は重大な転換点の発表は4月ではなく7月の政治局会議で行われると予想する。したがって4月は先の会合からの大きな変更とは見なしていないし、我々のチャイナ・インベストメント・ストラテジーも同様に見ていない。従って過度な政策引き締めは今後12か月で中国および世界経済に対する現実的なリスクであり、我々の過度引き締めチェックリストはこの点を強調している（表 2）。 表 2 中国の政策引き締めチェックリスト 中国、過度の引き締め寸前 中国、過度の引き締め寸前 中国の財政・信用のダウンシフトは、第20回党大会を控えて進行している。党大会は2022年を通じて行われ、秋に最高指導部（政治局常務委員）の交代で頂点に達する。共産党の100周年に当たる今年7月1日に向けて経済は十分に刺激されているため、政策当局は過剰を防ぐことに集中している。金融リスクの予防、反独占規制、不動産バブルの抑制が当面の命題である。企業および政府の債務不履行や破産の増加は、指導部が経済構造改革と改革を推し進める意志を裏付けており、近年これが確認されている（チャート 10）。 チャート 10 中国における創造的破壊 中国、過度な引き締め寸前 中国、過度な引き締め寸前 投資家は党大会があるからといって指導部が政策を緩和するだろうと想定してはならない。2017年の党大会の前にはむしろその逆のことが起きた。しかし、投資家はまた、中国が重要なイベントの前に自国経済を沈めるほど過度に引き締めるとも安易に想定してはならない。安定が目標となるだろう（2017年や以前の党大会でもそうであったように）──これは現行の引き締めが財政的・経済的にあまりにも痛みを伴う場合には政策緩和がいつか行われることを意味する。政策当局が転換点に達するまでは、中国関連資産は短期的に脆弱である。 ちなみに、第20回党大会の接近は政治的な暗闘や衝撃的な出来事を引き寄せるだろう。最高指導者は通常、党大会前に派閥の勢力を示すために有力なライバルを解任する。政府はまたメディア統制を強化し、事件の周辺で声を上げるか抗議するかもしれない反体制派を取り締まる。しかし2022年はその利害が一層高い。 習主席は当初2022年に退任すると見られていたが、今は退任しない見込みであり、これは少なくとも一部の反対を喚起するだろう。さらに習政権下で中国は三つの歴史的な政策革命を遂げた：強力な指導者モデルを採用し、前二代の集団指導モデルを損なったこと、経済の自給自足を重視して自由化と開放を犠牲にしたこと、そして大国としての地位を強調し米国や同盟国との協調を犠牲にしていることだ。 まとめ：中国の政策引き締めにより、グローバル株式、コモディティ、そして「中国プレイ」は大幅な調整リスクに直面している。当社のベースケースは中国が過度な引き締めを回避するというものだが、最新のマネーおよびクレジットの数値はその見方を変更する閾値に達している。これらの指標がさらに急落すれば見解を変更する必要がある。 中国の消えゆく労働力 最終的に過度な引き締めを抑制する制約の一つは、労働年齢人口の縮小による中国の潜在GDP成長の低下である。中国の第7回国勢調査が今週公表され、国とその経済に影響する深い構造変化を裏付けた。 過去10年の人口増加率は5.4%に鈍化し、1953年の最初の国勢調査以降で最低となった。出生率は2020年に1.3まで下落し、2.1の人口置換水準や2016年に一人っ子政策を緩和した際の目標1.8を下回っている。出生率は世界銀行の推計（2019年で1.7）や日本の数値よりも低い。人口1000人当たりの出生数も減少し、2020年の新生児数は1961年（大飢饉の年）以来の低水準となった。出生率は高所得国の水準に収束しており、経済発展が中国でも出産抑制の同じ効果をもたらしていることを示唆しているが、中国はこれらの国より発展段階が低い。 チャート 11 1990年代の日本より速く減少する中国の労働人口 中国、過度な金融引き締めの瀬戸際に立つ 中国、過度な金融引き締めの瀬戸際に立つ 最年少コホートの比率は16.6%から17.95%に上昇し、最年長コホートは2010年の8.9%から現在13.5%へ上昇、働き手層は75.3%から68.6%に低下した。労働年齢人口は2010年にピークに達し、過去10年で6.79ポイント減少した。対照的に日本の労働年齢人口は1992年にピークを迎え、その後の10年で2.18ポイント低下した（チャート 11）。 言い換えれば、中国は1990年代初頭に日本が経験した人口転換を経験しているが、中国の労働年齢人口はさらに速く減少する可能性がある。中国は日本が達したより低い1人当たり所得水準でこの大規模な社会経済的変化を経験している。 人口動態の課題は中国の社会経済的および政治的システムに圧力をかけるだろう。中国の奇跡は、他のアジアの奇跡と同様に、輸出製造により大量の貯蓄を生み出し、それを国家開発に再投資することを前提としていた。労働年齢人口の減少は経済発展と重なり、長期的には貯蓄率の低下をもたらすだろう。これはチャート 12に示されたように、二つの異なる中国の労働人口の図と国民貯蓄率を並べたものである。扶養比率が上昇するにつれて貯蓄率は低下し、再目的化に使える資金が減少する。資本コストは上昇し、経済構造改革は加速するだろう。 日本の場合、人口変化は1990年の金融危機と全国的な経済行動の変化と同時に起きた。貯蓄率は経済の変化とともに低下したが、生成された貯蓄は依然として投資を上回っており、これは民間需要の不足と大きな債務負担の圧力によるものであった。企業は投資と生産の拡大よりも債務圧縮に注力した（チャート 13）。これらは外部環境が良好だったときに起きたが、中国は地政学的緊張による経済的圧力が高まる文脈で同様の人口問題に直面している。 チャート 12 希少化する中国の労働者 中国の労働者が希少になりつつある 中国の労働者が希少になりつつある チャート 13 高貯蓄が債務拡大を可能にするが、やがて債務が圧倒する 高い貯蓄が借入拡大を促し、債務が耐え難くなるまで続く 高い貯蓄が借入拡大を促し、債務が耐え難くなるまで続く 中国はこれまで破滅的な金融危機や不動産価格の崩壊を回避しており、深刻な流動性の罠に陥る事態は避けている。中国当局は不動産バブルの危険を痛感しており、したがって金融の過剰を防ぎバブル的活動を抑制することに注力している。これが過度の引き締めリスクを重大なものにしている。しかしどちらか一方の誤りはデフレへの滑落を招き得る。習政権は活動が過度に減速したり金融の不安定性が手に負えなくなりそうな時は経済を刺激してきたが、これは難しいバランス行為であり、故に我々は過度引き締めリスクを綿密に監視している。 中国の国勢調査からのその他の注目点は以下の通りである： 二人っ子政策は現時点では成功していない。 COVID-19は出生率に悪影響を与えた可能性はあるが、タイミングの点で出生数を大きく歪めるほどではない。したがってトレンドはパンデミックだけで説明できない。 急速な都市化が続いており、都市化率は64%に達し、2010年から14ポイント上昇した。 政策議論は定年年齢の引き上げ、出産に対する財政的インセンティブの提供、子育てをより手頃にするための各種価格統制（特に不動産バブルの抑制）、および地方からの移住が続く中で中小都市の不動産価格が急落しないようにする措置を強調している。 中国の少数民族人口は総人口の9%を占め、過去10年で9%成長したのに対し、漢民族は91%で5%成長にとどまった。少数民族は一人っ子（二人っ子）政策の免除対象である。しかし、新疆のような自治区では民族間緊張が発生しており、中国の少数民族政策に対する国際的な監視が強まっている。 中国の人口動態上の課題は広く知られているが、最新の国勢調査はその規模を再確認させる。中国の潜在成長率は低下しており、上昇する扶養比率は政府に対する要求を強める社会変化を示している。より大きな財政・社会支出の必要は困難な経済的トレードオフと不人気な政治的決定を必要とするだろう。経済変化と人の移動は地域間および富の格差を深めるだろう。 これらすべての点は、我々の一貫したジオポリティカル・ストラテジーのメガテーマの一つを裏付けている：中国の国内政治リスクは過小評価されている。 まとめ：中国の2020年国勢調査は、中国の上昇する社会経済的・政治的課題の根底にある人口減少を強く裏付けるものである。中国は強力な中央政府を持ち、単一支配政党の下で権力が集約され、近年様々な課題を管理してきた実績はあるが、それでも現在進行中の変化の規模は圧倒的であり、ネガティブな経済的・政治的サプライズを招くだろう。 インド：州選はモディに対する転換点ではない インドで第2波のCOVID-19がピークにあった時期に、5州で選挙が行われた。中でも西ベンガル州の結果が最も重要だった。西ベンガルは大きな州であり、インド国会の議員のほぼ10分の1を占めている。ナレンドラ・モディ首相の与党バラティヤ・ジャナタ党（BJP）は294議席中約70%を獲得するとの目標を公言していた。 実際には、西ベンガルは地域政党であるオール・インディア・トリナムール会議（AITMC）の圧勝となった。AITMCは2期の反イナカム任期に直面していたにもかかわらず、議席数は過去最高を記録した。多くの予測を上回る結果であり、多くの世論調査が予想していなかったことが示された。 投資家はこの重要州でのBJPの敗北をどう受け止めるべきか。これはモディのパンデミック対応への反発か。2024年の総選挙で政権交代や国家政策の変更を予告するものか。そうとは言えない。ここで我々は三つの主要な示唆を挙げる： 示唆その1：BJPの成果は注目に値する チャート 14 インド：西ベンガルで足がかりを得たBJP 中国、過度な引き締めの瀬戸際 中国、過度な引き締めの瀬戸際 BJPは西ベンガルで目標には届かなかったが、この州はBJPの地盤ではない。BJPは英語で言えばヒンディー語圏で自然な支持基盤を持つとされ、西ベンガルは非ヒンディー語圏であり、伝統的にBJPは「外部勢力」と見なされてきた。またこの州は変化を受け入れにくいことで知られている。例えばAITMC以前は左派が34年という記録的な長期政権を維持していた。このような状況下で、BJPが2021年に77議席に増やしたことは注目に値する（2016年は3議席）（チャート 14）。 この成果によりBJPは西ベンガルで主要な野党となった。これはBJPが時間をかければ伝統的な強みを持たない州でも足場を築けることを示している。歴史的に弱い州でこの成果を上げたことは、BJPが依然として無視できない勢力であることの表れだ。 示唆その2：BJPの人気は後退したが、2024年に政権を維持する見込みは依然強い BJPに対する不満はCOVID-19対応の不手際とそれに伴う経済的困窮により高まっているが、国家レベルでBJPに代わる現実的な選択肢は存在しない。 最近の州選は、西ベンガルだけでなく、野党のインド国民会議（INC）がまだ体制を整えていないことを確認した。コングレスは西ベンガルで44議席から0議席に崩壊した。より重要なのは、コングレスが大衆にアピールする内部指導者を任命・選出する必要性と、識別可能な政策アジェンダを策定する必要性という二つの重要課題をまだ解決していない点である。 コングレスの弱さは、BJPの議席数が2019年のピークから減少する可能性があっても、我々の2024年のベースケースは依然としてBJP主導の政権がインドの政権を維持するというものであることを意味する。政策の継続性とある程度の構造改革の可能性がベースケースだ。 示唆その3：インドの地域政党の台頭 過去10年のBJPの台頭は、コングレスと地域政党の議席減少と同時に進んだ。しかし最近の州選は、BJPが地域政党の議席シェアを劇的に圧縮できないことを示している。例えば西ベンガルではBJPは単独で77議席を獲得したが、これはこの州で支配的なAITMCの犠牲になって得たものではない。一方、同月に選挙が行われた別の大州であるタミル・ナードゥでは二大地域政党の間で支配が揺れ続けている。 チャート 15 インド：BJPは2019年にピークを迎えたが2024年にも有力 中国は過度な引き締めの瀬戸際にある 中国は過度な引き締めの瀬戸際にある 2019年の総選挙では地域政党（BJPとコングレスを除く全党）のシェアは約40%から35%に低下した（チャート 15）。2024年の選挙では、BJPのピーク議席数が2019年の高水準から低下することにより、地域政党の議席シェアがやや上昇する可能性がある。 インドの地域政党の今後の台頭は単純な力学に根ざしている。BJPが2024年に二期目の現職となる可能性があるので、全国レベルでBJPに対する代替がない限り、有権者は差分的に地域政党を支持する選択をするだろう。 BJPは2024年に単独最大党として過半数を超える議席を獲得するポジションに留まるだろう。しかし与党が過半数を確保するために地域政党を取り込むシナリオも十分にあり得る。ただし2024年までは長い時間がある。COVID-19とその経済的影響への対応が、BJPが2019年の成果を超えることを難しくするだろう。次の重要な州選は2022年2月に予定されており、インド最大の州ウッタル・プラデーシュで選挙が行われる。ここでの結果は、BJPがパンデミックと経済ショックによる反イナカム効果をいかに緩和できるかを示すだろう。 結論：インドにおけるBJPの人気は揺らいでいるが劇的に崩れたわけではない。BJPは依然として2024年に過半数を超える単独最大政党になる位置にある可能性が高い。したがって当面この新興市場で政権不安は懸念されない。 中国の国内政治リスクとインドの政治的継続性を踏まえ、当面インド向けのトレードを維持する（チャート 16Aおよびチャート 16B）。ただし我々はインド全体のレビューを進めており、今後の特別レポートで顧客に結論を共有する予定である。 チャート 16A 新興国に対してインド債をロングで保有 インド債券を新興国（EM）に対してロングで維持する インド債券を新興国（EM）に対してロングで維持する チャート 16B インドロング／中国ショートを堅持 インドをロング、中国をショートで貫く インドをロング、中国をショートで貫く 投資上の示唆 短期的な安全資産トレードを維持する。天然ガス先物のロングは19.8%の利得でクローズ。 景気循環（12か月）の強気ポジションを維持し、グロースよりバリューを優先する。レアアースを含むコモディティおよび新興市場のロングを維持する。ただし、中国が我々のベンチマークに従って過度の引き締めを行った場合にはこれらのトレードをカットする準備をすること。 当面は新興国同業と比較してインドのローカル通貨建て債をオーバーウェイトし、インド株を中国株に対してロングする。だがインドに対する強気姿勢は精査中である。 チャート 17 テック売りの中で回復するサイバーセキュリティ株 サイバーセキュリティ株がテック株の暴落の中で反発 サイバーセキュリティ株がテック株の暴落の中で反発 サイバーセキュリティ株はロングで保有を継続すべきだが、地政学的「職場復帰」トレードとしてはサイバーよりも航空宇宙・防衛を引き続き好む。先週の一般的なテック売りの中でサイバーセキュリティ株はテックセクターに対して持ち直した。米国で発生した大規模なColonial Pipelineのランサムウェア攻撃は、東海岸の燃料供給の約45%を支える主要ネットワークを一時的に停止させた（チャート 17）。それでも重要インフラに対する攻撃はサイバーセキュリティが長期的なテーマであることを浮き彫りにしており、投資家はエクスポージャーを維持すべきである。サイバー株はワクチン発見以降、テック全体をアウトパフォームしている（チャート 18）。 チャート 18 サイバーセキュリティは構造的テーマである サイバーセキュリティは長期的なテーマである サイバーセキュリティは長期的なテーマである Matt Gertken バイスプレジデント 地政学ストラテジー mattg@bcaresearch.com Yushu Ma リサーチ・アソシエイト yushu.ma@bcaresearch.com Ritika Mankar, CFA 編集者／ストラテジスト Ritika.Mankar@bcaresearch.com

ハイライト 中国の鋼材需要の急増を受け、建築およびインフラプロジェクトが今年完了するにつれて上海鉄鋼先物が今月初めに5,200人民元/MT弱の史上高近くまで上昇したことから、銅価格はさらに上昇すると見込まれます（今週のチャート）。 銅は今年および来年にかけて実需ベースでの需給不足を記録し、在庫がさらに減少するとともに中国および世界的に銅スクラップの需要を押し上げるでしょう。 銅価格の上昇が続けば、現在の市場での口先介入が需要と価格上昇を抑えられない場合、中国の膨大な国家保有銅在庫（約200万MTと推定される）の一部を当局が放出する可能性があります。 強い鋼材マージンと製鉄所に対する新たな環境規制が高品位鉄鉱石（65% Fe）需要を押し上げており、同品は今週初めに約223ドル/MT弱の史上高を付けました。ベンチマークの鉄鉱石価格（62% Fe）は今週10年ぶり高値で取引され、約190ドル/MT手前でした。 当社は2021年12月の銅価格予想を4.50ドル/lbから5.00ドル/lbに引き上げます。さらに、本日の取引終了時に2022年物CME/COMEX銅をロングし、2023年物CME/COMEX銅をショートするポジションを取ります。より急峻なバックワーデーションを見込んでの取組みです。 特集 中国の唐山（Tangshan）製鉄拠点における汚染削減のための製鉄所稼働率の最大30%削減という政府指示は、建設およびインフラのブームに対応する既に逼迫した市場をさらに引き締めることになります（チャート2）。このブームは鋼材価格、そして結果的に鉄鉱石価格を急騰させました（チャート3）。過去と同様に、これが銅の強気相場の次の局面の舞台を整えます。 今週のチャート 鋼材の急騰が銅価格の更なる上昇を予告 鉄鋼の急騰は銅価格のさらなる上昇を示唆する 鉄鋼の急騰は銅価格のさらなる上昇を示唆する 当社のモデルでは、特に鉄筋（リバー）価格と銅価格の間に強い関係があることが今週のチャートで確認できます。鋼材は建築・インフラプロジェクトの前段階で使われ（鉄筋で補強されたコンクリートや圧延コイル製品など）、その後、完成したプロジェクトには銅が使われます（配線や配管の形で）。 チャート2 銅の強気相場は続く 銅の強気相場は続く 銅の強気相場は続く 建設・建築ブームに加え、製造業の継続的な回復が銅価格の追い風となり、2021年後半の世界的な活動回復がこれをさらに増幅します。チャート4は名目GDP水準と銅価格の関係を示しています。重要なのは、アジア（中国を含む）およびアジア以外の経済成長が銅価格とコインテグレーション（共積分）関係にあることで、すなわち経済成長と工業コモディティは長期的な均衡を共有しており、それが同時変動を説明します。 チャート3 鋼材ブームが鉄鉱石価格を押し上げる 鉄鋼ブームが鉄鉱石価格を押し上げる 鉄鋼ブームが鉄鉱石価格を押し上げる メディア報道はしばしば、中国の政府支出をGDP比で注目しがちです（例：社会融資総額のGDP比）。しかし商品価格動向を説明しようとする際に経済要因が除外されがちです。中国政府が民間部門（財・サービス面）をさらに拡大することに成功すれば、オーガニックな経済成長が中国のコモディティ需要を説明する上でより重要になります。 チャート4 世界経済の成長が銅価格を押し上げる 世界的な経済成長が銅価格を押し上げる 世界的な経済成長が銅価格を押し上げる 当社の銅モデルでは、名目中国GDP、新興アジア（EMアジア）GDPおよびアジア以外の新興国（EM）GDPに加え、鋼材と鉄鉱石価格が銅価格と共積分関係にあることが分かります。これは純粋な経済学的観点から期待される結果です。一方で、これらの工業用コモディティ価格と中国の名目GDPに対する社会融資総額の割合との間には共積分関係（経済的な共動性や共通トレンド）は見られません。これらのモデルにより、銅価格の説明や予測に役立たない偽の関係を回避できます。 チャート5 鉄鉱石・銅の需要はグリーン・エネルギーの整備で増加する 鉄鋼価格の急騰で銅が上昇 鉄鋼価格の急騰で銅が上昇 チャート6 再生可能エネルギーが新規増分発電を主導 銅、鉄鋼価格の急騰を受け上昇へ 銅、鉄鋼価格の急騰を受け上昇へ 長期的には、当社が過去の調査報告で指摘してきたように、分散型再生可能発電の導入、よりレジリエントな電力網、電気自動車（EV）への移行は、鉄鉱石や鋼材といったばら積み需要、および特に銅のようなベースメタルの需要成長の主要な源泉となります（チャート5）。1 すでに再生可能エネルギーは、世界の電力網に追加される新規増分発電の中で最も高い成長セグメントを占めています（チャート6）。 銅供給の増加にはより高い価格が必要 銅供給は短期（2022年末まで）では需要に対応するのが困難であり、再生可能エネルギーとEVの整備は大半がこれから始まる段階にあります。つまり中期（2025年末まで）および長期（2050年）において、需要を満たすためにはかなりの新供給を開発する必要があります。 短期的には、精錬銅の供給面、特に製錬所が半精製品として精製し製造入力にする凝縮物（コンデンセート）レベルが極めて低下しており、中国の製錬所におけるトリートメント料・精製料（TC/RC）の長期的な急落からも確認できます（チャート7）。先週およそ22ドル/MTで、これらの手数料は2013年に中国でのベンチマークTC/RC指数が開始されて以来の最低水準でした（reuters.comによる）。2 チャート7 供給減少で銅のTC/RCが低下、価格を押し上げる 銅のTCRCsが供給減で下落し、価格を押し上げる 銅のTCRCsが供給減で下落し、価格を押し上げる 銅の供給事情はチャート8にも表れており、年次の供給と需要を残高に換算すると、これが在庫市場を介して調整されます。国際銅研究グループ（ICSG）は、鉱山生産は昨年も前年並みで推移し、精銅供給はわずか1.5%の増加にとどまったと推定しています。 チャート8 実需の不足が銅在庫を引き下げる... 現物不足が銅在庫を取り崩す… 現物不足が銅在庫を取り崩す… ICSGの推定によれば消費は2.2%増加し、中国の保税倉庫在庫を調整後の今年の実需ベースの不足は456千MTが見込まれます。これで銅市場は4年連続の実需不足となり、2017年以降の平均不足は約414千MTです。その結果、在庫が再び供給ギャップを埋める頼みとなり、世界の在庫は前年比約25%減と低水準で今後も減少し続けるでしょう（チャート9）。 鉱業の設備投資が弱く、銅鉱石の品位が低下しているため、相当程度の新投資を促すにはより高い価格が必要です（チャート10）。しかし、これらプロジェクトのリードタイムは最良のケースでも5年であるため、鉱山会社は近い将来に最終投資判断を下してプロジェクトを承認する必要があります（チャート11）。 チャート9 ...結果として4年続く実需不足で在庫は低水準 …4年にわたる現物不足を経て低い …4年にわたる現物不足を経て低い チャート10 弱い投資と低下する鉱石品位を是正するにはより高い銅価格が必要 弱い設備投資と鉱石品位の低下を是正するには、銅価格のさらなる上昇が必要だ 弱い設備投資と鉱石品位の低下を是正するには、銅価格のさらなる上昇が必要だ チャート11 新規鉱山稼働までのリードタイムは短縮中だが時間は限られる 銅、鉄鋼価格の急騰で上昇へ 銅、鉄鋼価格の急騰で上昇へ 投資への含意 当社が銅に注目するのは、銅があらゆる再生可能技術に関わり、電気自動車（EV）にとっても重要であり、特にこの技術が広く普及した場合にその重要性が増すという単純な事実によります（チャート12）。 当社は短期・中期・長期の投資期間にわたり銅供給の課題が続くと予想しています。短期対応として、当社は2020年9月10日に2021年12月物銅をロングすることを推奨しており、このポジションは現在39.2%の含み益です。中長期をカバーするために、当社はS&P グローバル GSCI コモディティ・インデックスおよびiShares GSCI コモディティ ダイナミック ロール ストラテジー ETF（COMT）をそれぞれ2017年12月7日と2021年3月12日に推奨しており、これらは現時点でそれぞれ-2.3%および-0.8%となっています。 チャート12 電気自動車の普及が新たな銅需要を生む 鉄鋼価格の急騰で銅が上昇へ 鉄鋼価格の急騰で銅が上昇へ 本日の取引終了時に、上記の銅の需給ストーリーに基づく中期的な機会を捉えるために、2022年物CME/COMEX銅先物をロングし、2023年物CME/COMEX銅先物をショートするポジションを構築します。市場のさらなる引き締まりにより在庫が取り崩され、銅先物カーブのバックワーデーションがより急峻になると予想しています。 短期・中期・長期の当社ポジションに対する主なリスクは、世界的にCOVID-19パンデミックを抑制できないことであり、これは短期的なリスクだと考えています。第二のリスクは、中国国家備蓄局（別名：国家鉱物備蓄局）が保有する戦略的な銅コンセントレート備蓄の大規模放出です。後者のリスクに関して、同局の実際の保有量は不明ですが、約200万MTの範囲にあると考えられています。3 結論： 当社は工業用コモディティ、特に銅に対して強気の立場を維持します。 ロバート・P・ライアン チーフ・コモディティ＆エネルギー・ストラテジスト rryan@bcaresearch.com   コモディティ概要 エネルギー： 強気 米国エネルギー情報局（EIA）によれば、テキサス州は2022年末までに約10GWのユーティリティ規模の太陽光発電を追加する見込みです。テキサスは2020年に本格的に太陽光市場に参入し、2.5GWを導入しました。EIAは今後2年間で年平均約5GWを追加すると見ており、総太陽光容量は約15GW弱になる見込みです。この新規容量の約30%は米国で最も生産性の高い油田があるパーミアン盆地で建設される予定です。比較として、米国の太陽光発電の主要生産州であるカリフォルニアはEIAによれば3.2GWの新規太陽光容量を追加します（チャート13）。2022年末までに、新規太陽光発電の約3分の1がテキサスで追加される見込みで、同州はすでに国内で最大の風力発電地でもあります。風力の発電可能性は夜間に高く、太陽は昼間に最も豊富です。 貴金属： 強気 パラジウム価格は水曜日に約2,876ドル/ozで取引され、2020年2月の過去最高2,875.50ドル/ozを上回り3,000ドル/ozに迫っています。これは世界最大のパラジウム生産者であるロシアの金属メーカー、ノリリスクの生産見通し引き下げが続いているためです（チャート14）。同社は今週、以前の見通しを更新し、鉱山の浸水により銅・ニッケル・パラジウムの鉱山生産が今年最大20%減少する可能性があるとしました。パラジウムはガソリン車の触媒に使われ、世界がCOVID-19由来の需要破壊と自動車の供給を制限している半導体不足から回復するにつれて、自動車販売の回復が見込まれます。加えて、白金族金属（PGM）の生産は南アフリカの電力供給の不安定さにより妨げられており、国内の電力大手が需給調整のために計画停電を実施せざるを得ない状況です。当社は2020年4月23日にパラジウムのロングを推奨して以降、同金属のロングを維持しており、このポジションは35.6%の含み益です。 チャート13 鉄鋼価格の急騰で銅が上昇へ 鉄鋼価格の急騰で銅が上昇へ チャート14 パラジウム価格 パラジウム価格     脚注 1     例として当社が2020年11月26日に発表したレポート「Renewables, China's FYP Underpin Metals Demand」（再生可能エネルギー：中国の五カ年計画が金属需要を支える）をご覧ください。‌ ces.bcaresearch.comで入手可能です。   2     reuters.comに掲載された2021年4月14日付の記事「RPT-COLUMN-Copper smelter terms at rock bottom as mine squeeze hits: Andy Home」を参照してください。この記事は、鉱山と製錬所間の直接取引が10ドル/MT程度まで報告されたことを指摘しており、銅の実需サイドが現状いかに逼迫しているかを示しています。 3    reuters.comに掲載された2021年4月20日付の記事「Column: Supercycle or China cycle? Funds wait for Dr Copper's call」をご覧ください。    投資見解とテーマ 推奨 戦略的推奨 戦術的トレード コモディティ価格と取組の参考表 2021年にクローズしたトレード クローズ済みトレードの要約 より高いインフレが到来 より高いインフレが到来

特別レポート

The inflation/deflation debate has been dominating the news flow and we are compelled to offer our thoughts in two-part series of Special Reports on this widely discussed, but also widely misunderstood topic. Over the past year, we have been inundated with countless questions about our outlook on inflation given the dual monetary and fiscal stimuli that have been ongoing since Covid-19 hit (Chart 1). We take this opportunity to provide detailed answers on everything inflation in this series of Special Reports. Specifically, in this first report we focus on the long-term and structural forces behind US core CPI inflation. We go in depth into the drivers behind the current deflationary trend and also examine what other variables might break that trend in the future. We also try to ignore the medium-term outlook because the inflation story is well-known as the financial media is littered with charts that slice and dice the ISM manufacturing release in every possible way showing that inflation will rebound. Hence, there is no disagreement about the medium-term path for the core CPI inflation. Chart 12020 Stimuli The important question that we look to answer in this Special Report is whether this rebound is a paradigm shift that will push the US into a new era of consistently high (i.e. above 3%/annum) core CPI inflation, or is it a merely counter trend inflationary spike within the broader deflationary megatrend? Laying The Groundwork Before we wrestle with the structural forces behind inflation, first we must get the question of quantitative easing (QE) and its effects on the real economy and inflation out of the way. Undoubtedly, QE is an integral part of any discussion about the real-word and/or financial asset price inflation, and while it tickles the public’s imagination with hyperinflationary fears, the reality is that those fears are largely misplaced (Chart 2). In fact, pundits have established a consensus: “QE only affects the financial economy as it increases bank reserves that can never escape in the real economy. On the other hand, fiscal stimulus affects the real economy and can cause genuine inflation.” There clearly hasn’t been any material inflation since the GFC, so the argument of “QE only affecting the financial economy” appears to be correct, but at closer look there is room for a different interpretation. What is important to understand is that QE is nothing but a tool, sometimes a signaling tool, in the Fed’s arsenal, and like any tool, it can be used in different ways. Chart 2Boogeyman?  The fact that there has not been any material real-world inflation since the housing bubble is neither because QE is structurally deflationary nor because it “cannot touch” the real economy, but because policy makers chose to use the QE tool to rescue creditors (the financial sector) rather than debtors (the real economy) during the GFC. Delving deeper in the Great Recession, the banks were largely undercapitalized with cash accounting for a tiny portion of overall assets and Treasury holdings being at historic lows (Chart 3). The rest of the assets were tied to loans and other risky securities. Once NINJA loans and other subprime loans along with the derivative CLOs/CDOs house of cards began imploding, the banking sector could not stomach the losses owing to the nonexistent cash buffer, and the entire system went into insolvency mode. This is when the Fed stepped in with QE (and the Treasury with TARP in order to recapitalize the banks) to bail out the nervous system of the US economy by boosting reserves and giving freshly printed money to the banks in exchange for their Treasurys, MBS and other risky securities. By providing support to the banking system, the Fed was counterbalancing a deflationary financial industry shutdown (the Richard Koo balance sheet type recession) rather than injecting an inflationary real economic stimulus. As a result, nearly all of the newly created money was stuck in the financial system in the form of new reserves, and as far as the real economy was concerned, no new money entered directly into the real world. This is how the consensus of “QE only affecting the financial economy” was formed, and why we did not observe a long-lasting rise in CPI despite all of the GFC-brought about stimuli. Chart 3Banks Were Well-capitalized Fast-forward to today, and the backdrop could not be more different. The banking sector was well capitalized, so doing an aggressive QE to boost reserves and to stimulate the financial sector would have only provided marginal benefits. The deflationary shock came through the real economy, not the financial economy, meaning that a real (i.e. fiscal) stimulus was needed. Once again, the QE tool comes to the rescue. This time however, QE was also used to finance Main Street stimulus programs as the Fed bought long dated Treasury (and other) securities that pushed interest rates to rock bottom levels and helped facilitate government stimulus spending. Consequently, a more meaningful fraction of QE money reached Main Street and had an effect on the real economy and was not just locked in new reserves. As a reminder, when rates fall to zero and the Fed embarks on QE, the lines between monetary and fiscal policies get blurred. When QE (instead of the foreign or private sectors) is used to facilitate government expenditures, which later on gets distributed into the real economy, QE can provide inflationary support and can reach the real economy. Chart 42008 Versus Today Perhaps the best way to illustrate the difference between 2008 and 2020 is by showing M2 money supply data. The spike in M2 data in 2020 dwarfs the one in 2008; in 2020 QE money reached the real economy and ended up in private sector’s bank accounts (thus contributing to M2 growth), whereas in 2008 QE money was mainly locked in bank reserves. True the money multiplier and M2 money stock velocity are still in hibernation, and were we to see a sustainable inflationary impulses both of these indicators would have to show signs of life (Chart 4). So does this mean that there are grounds for longer-term inflationary concerns since in 2020 QE actually reached the real economy? To answer this question, we now dig deeper into the secular inflation forces and split them in two camps: pro-inflationary and anti-inflationary. Pro-Inflationary Driver #1: The Buenos Aires Consensus Our view since last June has been that fiscal deficits are here to stay as far as the eye can see and the shift from the Washington to the Buenos Aires Consensus1 is a paradigm shift with staying power. The most important long-term consequence of the Buenos Aires Consensus will be higher inflation. And we are not talking just the asset price kind – which investors have enjoyed over the past decade – but of the more traditional flavor: consumer price inflation. Crudely put, as long as fiscal support remains in place (proverbial helicopter drop, Chart 5) after the pandemic is long forgotten it can serve as a meaningful catalyst for structural inflation, instead of being a one-off counterbalancing short-term boost. To reiterate just how much more powerful fiscal spending is outside of a recession, we conduct a labor market analysis and show that a large percentage of the present-day stimulus is being used to counterbalance the deflationary pandemic shock, rather than contributing to driving inflation higher. Table 1 shows our proxy for total payroll losses incurred by America households as a direct result of the pandemic. Our estimate is $501 billion from March 2020 until today. Chart 5Helicopter Checks The Committee for a Responsible Federal Budget also publishes detailed statistics on the dollar flow of every pandemic stimulus program to a specific economic sector. As of today, US households received $1,400 billion, but some of the stimulus categories simply defer a payment that households still have to make in the future, instead of injecting brand-new money. After stripping those categories out, we arrive to a cleaner number of roughly $1,000 billion – that is how much new money US households received. Next, we subtract our total payroll loss proxy resulting into a net inflow of approximately $500 billion or 2.3% of 2020 US GDP. This is a respectable sum and 2.3% is significant. However, it has one major drawback. The 2.3% GDP stimulus number assumes that every single dollar was actually spent into the real economy, which we know is not true. Table 1The Counterbalancing Effect A recent New York Fed study on how American households used their stimulus money concluded that: “36.4% of the stimulus money was used to boost savings, 34.5% to paydown debt, 25.9% was spent on essentials and non-essentials, and finally the rest of the money (3.2%) was donated”. It is worth noting that this study also looked at the expected spending patterns for the new round of stimulus checks, and the results were generally the same. To obtain a more realistic number of how much of the net $500 billion inflow actually entered the economy, we multiply it by 25.9% (how much money was used on spending according to the NY Fed) and arrive at a better estimate of $130 billion or 0.6% of 2020 US GDP, which is by no means an astronomical number that will shatter into pieces the current deflationary megatrend. This empirical exercise demonstrated how a large percentage of the present-day stimulus is being used to counterbalance the deflationary pandemic shock. However, if our thesis of a Buenos Aires Consensus in which governments spend even outside of recessions pans out, then there will not be the aforementioned counterbalancing effect, and all the fiscal dollars will go straight to contributing to rising inflation until the deflationary megatrend is broken. Pro-Inflationary Driver #2: Demographics In the long run, inflation tends to oscillate alongside a country’s demographics. More specifically, it is the relative size of the three age cohorts (young, working-age, and old) that plays a key role in driving inflation. People who are in the working-age cohort are at their peak productivity, which implies that their contribution to the production of goods and services is greater than the demand for new credit they generate, meaning that they produce a deflationary pull. The opposite is true for the other two age cohorts (the young and the old). Neither one is contributing to the production of goods & services, while both still generate new credit in the economy (for example student loans), and the end result is an inflationary pull. Hence, it is the interplay between these three age cohorts that serves as a structural force behind inflation. To put some numbers behind this conceptual framework, we turn our attention to a paper “The enduring link between demography and inflation” written by Mikael Juselius and Előd Takáts. In the paper, the authors conduct rigorous cross-country analysis and find that indeed, people 30-60 years of age (the working-age cohort) exert deflationary pressure, while the other two cohorts contribute to rising inflation. Chart 6 plots the age-structure effect for the US against inflation. The authors also quantified that over the 40-year period (1970-2010) the increase in the working-age population (due to baby-boomers) has lowered inflationary pressures by almost five percentage points in the US (Chart 7). Meanwhile, by extrapolating the likely path of demographic data by 40 years (2010-2050), the authors observed a shift from deflationary to inflationary age pressure mainly due to the incoming increase in the proportion of the old cohort. Their estimate of the expected pull on inflation in the US will be approximately two and a half percent (Chart 8). Chart 6Demographics Are A Mighty Force Chart 7From Deflationary... Chart 8...To Inflationary Going forward, US demographics will be more inflationary than deflationary. Pro-Inflationary Driver #3: De-Globalization The “apex of globalization” or “de-globalization” is our third pro-inflationary driver. We have written about this theme extensively at BCA Research and it is the mega-theme of our sister Geopolitical Strategy (GPS) service. Odds are high that countries will continue looking inward as the US sustains its aggressive trade policy, China’s trend growth slows, and US-China strategic tensions intensify. Chart 9 shows that we are at the conclusion of a period of tranquility. Pax Americana underpinned globalization as much as Pax Britannica before it. The US is in a relative decline after decades of geopolitical stability allowed countries like China to rise to “great power” status and rivals like Russia to recover from the chaos of the 1990s. Chart 9The Tide Is Turning De-globalization has become the consensus since the election of Donald Trump. But Trump is not the prophet of de-globalization; he is its acolyte. And now, President Biden is continuing in Trump’s footsteps. Globalization is ending because of structural factors, not cyclical ones. And its decline was pre-written into its “source code.” Three factors stand at the center of this assessment, first outlined in a 2014 GPS Special Report, “The Apex Of Globalization – All Downhill From Here”: multipolarity, populism and protectionism. Events have since confirmed this view. The three pillars of globalization are the free movement of goods, capital, and people across national borders. We expect to see marginally less of each in the future and this should prove inflationary. Pro-Inflationary Driver #4: US Dollar Bear Market The path of least resistance is lower for the US dollar and it represents our final pro-inflationary driver. Chart 10 highlights the ebbs and flows of the trade-weighted US dollar since it floated in the early-1970s. The DXY index has moved in six-to-ten year bull and bear markets. The most recent trough was during the depths of the Great Recession, while the peak was in early-2020. If history repeats, eventually the dollar will mean revert lower in the 2020s, especially given the fiscal profligacy (Buenos Aires Consensus) of the current administration that may continue into 2024. Chart 10Time For A Downcycle? True, the US dollar remains the global reserve currency, but that exorbitant privilege is clearly fraying on the edges as the balance-of-payments dynamics are heading in the wrong direction. While the US Congressional Budget Office (CBO) expects some normalization in the US budget deficit over the next 4 years since the pandemic shock will be over, looking further into the future the CBO forecasts a further reacceleration in deficit spending. Assuming a stable to grinding lower current account deficit in the next several years, the path of least resistance is lower for the currency. BCA’s US dollar model also corroborates the twin deficit message and suggests ample structural downside for the USD (Chart 11).  The apex of globalization will also hurt the greenback in a reflexive manner. In a world where all the markets are integrated, borrowers in EM nations often use the reserve currency to issue liabilities at a lower cost. This boosts the demand by EM central banks for US dollar reserves to protect domestic banking systems funded in USD. Moreover, some countries like China implement pegs (both official and unofficial) to the US dollar in order to maintain their competitiveness and export their production surpluses to the US. To do so they buy US assets. If the global economy becomes more fragmented and the Sino-US relationship continues to deteriorate structurally as we expect, then these sources of demand for the dollar will recede. Overlay the widening US current account deficit, and you have the perfect recipe for a depreciating trade-weighted US dollar. Importantly, the 1970s is an interesting period to examine in more detail. As the Nixon administration floated the greenback this aggravated the inflationary pressures (Chart 12) that were building all along the 1960s when the US adopted the Mutually Assured Destruction Doctrine along with the Cold War space race that eventually saw the US landing on the moon in 1969. Chart 11A Bearish Outlook Chart 12The Greenback In The 1970s A lower greenback is synonymous with rising commodity and import prices and given that the US is the consumer of last resort (70% PCE), the commodity/import price pendulum will swing from a deflationary to an inflationary force. Anti-Inflationary Driver #1: Technology’s Creative Destruction Schumpeter’s “creative destruction” forces dominate technology companies in general and Silicon Valley in particular, and represent our fist anti-inflationary driver. These creative destruction forces in the tech industry are inherently deflationary. As a result, tech business models have evolved to thrive during disinflationary periods. Chart 13 shows the software sector deflator derived from national accounts, and since the mid-1980s more often than not it has been mired in deflation. US semiconductor prices, computer hardware prices, and almost any tech related category from the PCE, PPI and CPI releases looks more or less the same as software, underscoring that this is a technology sector wide modus operandi. More recently, Uber Technologies and Airbnb, to name a few, continually bring existing capacity online and that adds another layer of deflation forces at work in select industries they operate in. Tack on technology infiltrating finance and soon the extremely opaque health care services industry that comprises almost 20% of US GDP or $4tn and a deflationary impulse will likely reverberate across these large segments of the US economy that have managed to sustain high pricing power over the decades. Chart 13Technological Progress Is Deflationary Thus, these creative destruction processes remain alive and well in tech land and will continue to exert deflationary/disinflationary pressure (of the good kind) on the US economy. Anti-Inflationary Driver #2: Income & Wealth Inequality The growing trend in income and wealth inequality is our second anti-inflationary force. We first want to focus on the issue of income inequality as it leads to wealth inequality. Income inequality refers to the distribution of wages and profits generated by the economy. It is the proverbial “share of the pie” that households from different socioeconomic brackets receive. The link with inflation comes through the marginal propensity to save statistic of those different brackets. Lower income households have nearly nonexistent propensity to save as they live paycheck to paycheck. Therefore, any additional income inflow they receive gets immediately syphoned into the real economy. In contrast, the top 10% have a high propensity to save as all of their living expenses are well covered, so any additional income they receive is stashed away into savings and does not enter the real economy. This is why following the Trump’s tax cut that benefitted the top 10% there has not been a durable spike in CPI inflation. The fact that in the US the income share of the top 10% is growing at stratospheric rates at the same as time as the bottom 90% are struggling to cover even a $400 unexpected expense needs no introduction. The exact reasons as to why that happened would require a separate Special Report, but one of the main reasons is the multi-decade suppression of unions, which does not allow employees to bargain effectively for a larger slice of corporate profits. Given that profits are an exact mirror image of labor expenses, it is not surprising that the union movement is being marginalized (Charts 14 & 15). Staying on the topic of inflation, as we already outlined, when the lower and medium socioeconomic brackets receive more income, it does not disappear in the savings accounts, but instead it is redirected into the real economy causing a healthy inflationary uptick. Chart 14No Power = No Money Chart 15The Tug Of War​​​​​​​ Chart 16 shows the wealth share of the top 10% of American households on inverted scale. Since the 1920s, inflation and the wealth share of the top 10% has moved in opposite directions. There were two distinct periods when the wealth share of the bottom 90% rose: from the early 1930s until the early 1950s, and from the mid-1960s until the mid-1980s. Both of these periods were accompanied by rising CPI inflation. Chart 16Wealth Equality Is Inflationary At the same time, when looking at any other period outside of those golden days for the bottom 90%, US inflation was anemic. This empirical evidence further underscores the importance of income and wealth distribution in the economy, and given the current US political and economic realities, we do not expect any material changes in labor dynamics to take root. The top 10% will continue benefitting at the expense of the bottom 90%, which will keep US CPI inflation suppressed. Concluding Thoughts In this Special Report our goal was to look beyond the already known medium term inflation outlook, and present both sides of the argument about the long-term inflation trend. We took a deep dive into six structural forces behind inflation that we identified. Four of those forces were pro-inflationary, while the remaining two were anti-inflationary (Table 2). We also assigned a value on our subjective strength scale for each force. Each value incorporates how quickly a particular force will come to fruition, and how strong it will be over the next 5-to-10 year period. Based on our analysis, we conclude that there are rising odds that the deflationary megatrend has run its course and has reached an inflection point of turning inflationary. Table 2Inflation Dots In the next Special Report from our Tinkering With Inflation series, we will conduct a thought experiment and explore a world in which our forecasts prove to be accurate, and a new inflationary paradigm engulfs the US economy. Under such a backdrop what will the US equity sector winners and losers, especially given the related shift in the stock-to-bond correlation? Stay tuned.   Arseniy Urazov Research Associate ArseniyU@bcaresearch.com   Footnotes 1     Buenos Aires Consensus is our catchall term for everything that is opposite of the Washington Consensus: less globalization, fiscal stimulus as far as the eyes can see, erosion of central bank independence, and a dirigiste (as opposed to laissez-faire) approach to economics that seeks to protect “state champions,” stifles innovation, and ultimately curbs productivity growth.

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Developed economies are challenged by two powerful and related demographic trends: declining growth in working-age populations, and a rapidly-aging population structure. Working-age populations are in absolute decline in Japan and much of Europe and growth is slowing sharply in the U.S. An offsetting acceleration in productivity growth is unlikely, implying a marked deceleration in economic growth potential. The combination of slower growth in the number of taxpayers and rising numbers of retirees is toxic for government finances. Future generations face sharply rising debt burdens and increased taxes to pay for entitlements. The correlation between aging and asset prices is inconclusive but common sense suggests it is more likely to be bearish than bullish. Population growth remains rapid throughout most of the developing world, China being a notable exception. It is especially strong in Africa, a region that has historically faced economic mismanagement and thus poor economic prospects for most of its inhabitants. Migration from the emerging to developed world is a logical solution to global demographic trends, but faces a backlash in many countries for both economic and cultural reasons. These tensions are likely to increase. Making accurate economic and market forecasts is daunting because there are so many moving parts and unanticipated events are inevitable. Quantitative models are destined to fail because of the unpredictability of human behavior and random shocks. Demographic forecasts are a lot easier, at least over the short-to-medium term. If you want to know how many 70-year olds there will be in 10 years’ time, then count how many 60-year olds there are today and adjust by the mortality rate for that age group. Demographic trends are very incremental from year to year and their impact is swamped by economic, political and financial events. Thus, it rarely makes sense to blame demographics for cyclical swings in the economy or markets. In some respects, demographics can be likened to glaciers. You will quickly get bored standing by a glacier to watch it move. But, over long time periods, glaciers cover enormous distances and can completely reshape the landscape. Similarly, over the timespan of one or more generations, demographics can have powerful effects on economies and societies. Some important demographic trends have been going on for long enough that their effects are visible. The most common concern about global demographics has tended to be overpopulation and pressure on resources and the environment. And this is hardly new. In 1798, Thomas Malthus published his “Essay on The Principles of Population” in which he argued that population growth would outstrip food supply, leading to a very miserable outcome. Of course, what he missed was the revolution in agricultural techniques that meant food supply kept up with population growth. In 1972, a group of experts calling themselves The Club of Rome published a report titled “The Limits to Growth” which argued that a rising world population would outstrip the supply of natural resources, putting a limit to economic growth. Again, that report underestimated the ability of technology to solve the problem of scarcity, although many still believe the essence of the report has yet to be proved wrong. Phenomena such as climate change and rising numbers of animal species facing extinction are seen as supporting the thesis that the world’s population is putting unsustainable demands on the planet. Rather than get into that debate, this report will focus on three particular big-picture problems associated with demographic trends: Declining working-age populations in most major industrialized economies during the next several decades. Population aging throughout the developed world. Continued rapid population growth in many of the world’s poorest and most troubled countries. According to the UN’s latest projections, the world’s population will increase from around 7.5 billion today to almost 10 billion by 2050.1 The population growth rate peaked in the 1970s and is expected to slow sharply over the next several decades (Chart II-1). Despite slower percentage growth rates, the population keeps going up steadily because one percent of the 1970 global population was about 3.7 million, while one percent of the current population is about 7.5 million. But here is an important point: virtually all future growth in the global population will come from the developing world (Chart II-2). The population of the developed world is expected to be broadly flat over the period to 2050, and this has some significant economic implications. Let’s first look at why population growth has stagnated in the developed world. Population growth is a function of three things: the birth rate, the death rate and net migration. Obviously, if there are more births than deaths then there will be a natural increase in the population and net migration will either add or subtract to that. Over time, there have been major changes in some of these drivers. In the developed world, a stable population requires that, on average, there are 2.1 children born for every woman. The fact that it is not exactly 2 accounts for infant mortality and because there are slightly more males than females born. The replacement-level fertility rate needs to be higher than 2.1 in the developing world because of higher infant mortality rates. After WWII, the fertility rate throughout most of the developed world was well above 2.1 as soldiers returned home and the baby boom generation was born. But, by the end of the 1970s, the rate had dropped below the replacement level in most countries and currently is a lowly 1.5 in Japan, Germany and Italy (Table II-1). It has stayed higher in the U.S. but even there it has dipped below the critical 2.1 level. This trend has reflected lot of factors including more widespread use of birth control and more women entering the labor force. In the developed world, the birth rate is expected to drop below the death rate in the next ten years (Chart II-3). That means there will be a natural decrease in the population. In the case of Japan, Germany, Italy and Portugal that change already occurred between 2005 and 2010. In the U.S., the UN expects birth rates to stay just above death rates in the period to 2050, but the gap narrows sharply. Births exceed deaths throughout most of the developing world meaning that populations continue to grow. Notable exceptions to this are Eastern Europe where populations are already in sharp decline and China, where deaths begin to exceed births in the 2030s. Although life expectancy is rising, death rates in the developed world will rise simply because the rapidly growing number of old people more than offsets the impact of longer lifespans. Of course, the population of a country can also be boosted by immigration, and that has been true for much of the developed world. In Canada and most of Europe, net migration already is the dominant source of overall population growth and it will become so in the U.S. in the coming decades, based on current trends (Chart II-4). This is the background to the first key issue addressed in this report: the declining trend in the growth of the working-age population in the developed world. Slowing Growth In Working-Age Populations An economy’s growth potential depends on only two things: the number of people working and their productivity. If the labor force grows at 1% a year and productivity also increases by 1%, then the economy’s trend growth rate is 2%. In the short-run, the economy may grow faster or slower than that, depending on issues like fiscal and monetary policy, oil prices etc. Over the long run, growth is constrained by people and productivity. The potential labor force is generally regarded to be the people aged 15 to 64. The growth trend in this age segment has slowed sharply in recent years in the major economies and is set to weaken further in the years ahead (Chart II-5). The problem is most severe in Japan and Europe where the working-age population is already declining. In the case of the U.S., growth in this age cohort slows from an average 1.5% a year in the 1960s and 1970s to a projected pace of less than 0.5% in the coming decades. While this generally is not a problem faced by the developing world, a notable exception is China, now reaping the consequences of its one-child policy. Its working-age population is set to decline steadily in the years ahead. Thus, it is inevitable that Chinese growth also will slow in the absence of an acceleration of productivity growth The slowing trend in the working-age population could be offset if we could get more 15-64 year olds to join the labor force, or get more older people to stay working. In the U.S., almost 85% of male 15-64 year olds were either employed or were wanting a job in the mid-1990s. This has since dropped to below 80% - a marked divergence from the trend in most other countries (Chart II-6). And the female participation rate in the U.S. also is below that of other countries. The reason for the decline in U.S. labor participation rates for prime-aged adults is unclear. Explanations include increased levels of people in full-time education, in prison, or claiming disability. A breakdown of male participation rates by age shows particularly sharp drops in the 15-19 and 20-24 age groups, though the key 20-54 age category also is far below earlier peaks (Chart II-7). The U.S. participation rate has recently picked up but it seems doubtful that it will return to earlier highs. Other solutions to the problem would be getting more people aged 65 and above to stay in the labor force, and/or faster growth in productivity. The former probably will require changes to the retirement age and we will return to that issue shortly. There always are hopes for faster productivity growth, but recent data have remained disappointing for most developed economies (Chart II-8). New technologies hold out some hope but this is a contentious topic. On a positive note, the shrinking growth of the working-age population may be easier to live with in a world of robotization and artificial intelligence where machines are expected to take over many jobs. That would support a more optimistic view of productivity but it remains to be seen how powerful the impact will be. Another important problem related to the slowing growth of the working-age population relates to fiscal burdens. In 1980, the level of government debt per taxpayer (ages 20-64) was around $58,000 in the U.S. in today’s money and this is on track for $104,000 by 2020 (Chart II-9). But this pales in comparison to Japan where it rises from $9,000 to $170,000 over the same period. Canada looks more favorable, rising from $23,000 in 1980 to $68,000 in 2020. These burdens will keep rising beyond 2020 until governments start running budget surpluses. Our children and grandchildren will bear the burden of this and won’t thank us for allowing the debt to build up in the first place. There will be a large transfer of privately-held assets from the baby boomers to the next generation, but the ownership of this wealth is heavily skewed. According to one study, the top 1% owned 40% of U.S. wealth in 2016, while the bottom 90% owned 20%.2 And it seems likely that this pool of wealth will erode over time, providing a smaller cushion to the following generation. This leads in to the next topic – aging populations. Aging Populations In The Developed World The inevitable result of the combination of increased life expectancy and declining birth rates has been a marked aging of populations throughout the developed world. Between 2000 and 2050, the developed world will see the number of those aged 65 and over more than double while the numbers in other age groups are projected to show little change (Chart II-10). As long as the growing numbers of those aged 65 and above are in decent health, then life is quite good. Fifty years ago in the U.S., poverty rates were very high for those of retirement age compared to the young (i.e. under 18). But that has changed as the baby boomer generation made sure that they voted for increased entitlement programs. Now poverty rates for the 65+ group are far below those of the young (Chart II-11). At the same time, real incomes for those 65 and older have significantly outperformed those of younger age groups. A major problem is that aging baby boomers are expensive because of the cost of pensions and medical care. As would be expected, health care costs rise dramatically with age. For those aged 44 and under, health care costs in the U.S. averaged around $2,000 per person in 2015. For those 65 and over, it was more than $11,000 per person. And per capita spending doubles between the ages of 70 and 90. So here we have the problem: a growing number of expensive older people supported by a shrinking number of taxpayers. This is illustrated by the ratio of the number of people between 20 and 64 divided by those 65 and older. In other words, the number of taxpayers supporting each retiree (Chart II-12). In 1980, there were five taxpayers for every retiree in the U.S., four in W. Europe and seven in Japan. These ratios have since dropped sharply, and in the next few decades will be down to 2.5 in the U.S., 1.8 in Europe and 1.3 in Japan. For each young Japanese taxpayer, it will be like having the cost of a retiree deducted from their paycheck. Throughout the developed world, the baby boomers’ children and grandchildren face a growing burden of entitlements. Some of the statistics related to Japan’s demographics are dramatic. In the first half of the 1980s there were more than twice as many births as deaths (Chart II-13). They become equal around ten years ago and in another ten years deaths are projected to exceed births by around three million a year. In 1990, the number of people aged four and under was more than double the number aged 80 and above. Now the situation is reversed with those aged 80 years and above more than double those four and under. That is why sales of adult diapers reportedly exceed those of baby diapers – very depressing!3 What’s the solution to aging populations? An obvious one is for people to retire later. When pension systems were set up, life expectancy at birth was below the age pensions were granted - typically around 65. In other words, not many people were expected to live long enough to get a government pension. And the lucky ones who did live long enough were not expected to be around to receive a pension for more than a few years. By 1950, those males who had reached the age of 65 were expected, on average, to live another 11 to 13 years in the major developed countries (Table II-2). This rose to 16-18 years by 2000 and is expected to reach 22-23 years by 2050. Governments have made a huge error in failing to raise the retirement age as life expectancy increased. Pension systems were never designed to allow people to receive government pensions for more than 20 years. Some countries have raised the retirement age for pensions, but progress on this front is painfully slow. Other solutions would be to raise pension contributions or to means-test benefits. Not surprisingly, governments are reluctant to take such unpopular actions. At some point, they will have no choice, but that awaits pressures from the financial markets. Currently, not many people aged over 65 remain in the workforce. The participation rate for men is less than 10% in Europe and less than 25% in the U.S. And it is a lot lower for women (Chart II-14). The rate in Japan is much higher reflecting the fact that it is at the leading edge of aging. Participation rates are moving higher in Europe and the U.S. and further increases are likely in the years ahead if Japan’s experience is anything to go by. Having people staying in the workforce for longer will help offset the decline in prime-age workers, but there is a downside. While it is a contentious topic, many studies point to a negative correlation between age and productivity after the age of 50. As we age, there is some decline in cognitive abilities and older people may be less willing or able to adapt to new technologies and working practices. These would only be partly offset by the benefits of experience that comes with age. Therefore, an aging workforce is not one where one would expect productivity growth to accelerate, other things being equal. An IMF study concluded that a 1% increase in the labor force share of the 55-64 age cohort in Europe could reduce the growth in total factor productivity by 0.2% a year over the next 20 years.4 Another study published by the NBER paper estimated that aging will reduce the U.S. economic growth rate by 1.2% a year this decade and 0.6% a year next decade.5 Other studies are less gloomy but it would be hard to argue that aging is actually good for productivity. Another aging-related issue is the implications for asset prices. It is generally believed that aging will be bad for asset prices as people move from their high-saving years to a period where they will be liquidating assets to supplement their incomes. This is supported by a loose correlation between the percentage of the labor force between 35 and 64 (the higher-saving years) and stock market capitalization as a percent of GDP (Chart II-15). However, other studies cast doubts on this relationship.6 One might think real estate is even more vulnerable than stocks to aging. However, in late 1988, two high-profile economists (Greg Mankiw and David Weil) published a report arguing that real house prices would fall substantially over the next two decades as the baby boom generation aged.7 That forecast was catastrophically wrong. Of course, that does not mean that the more dramatic aging occurring over the next couple of decades will not have a major negative impact on home prices. Numerous studies have been carried out on the relationship between demographics and asset prices and the conclusions are all over the place.8 Time and space constraints prevent a more in-depth discussion of this topic. Nonetheless, common sense would suggest that aging is more likely to be bearish than bullish for asset prices. Thus far, we have addressed two demographic challenges facing the developed world: slowing growth in the number of working-age people and a marked aging of the population. Much of the developing world has the opposite issue: continued rapid population growth and large numbers of young people. This is my third topic. Rapid Population Growth In The Developing World We already noted that nearly all future growth in global population will occur in the developing world, China being a notable exception. With birth rates remaining far above death rates, emerging countries will not have the aging problem of the developed world and this has some positives and negatives. On the positive side, a rapidly-growing young population creates the potential for strong economic growth – the opposite of the situation in advanced economies. But this assumes that the institutional and political framework is conducive to growth. Unfortunately, the history of many developing countries is that corrupt and incompetent governments prevent economies from ever reaching their potential. This means there will be a growing pool of young people likely facing a dim economic future. In some cases, these young people could be an excellent recruiting ground for extremist groups. It is unfortunate that there is particularly rapid population growth in some of the most troubled countries in the world. The Institute for Economics and Peace ranks countries by whether they are safe or dangerous.9 According to their ranking, the eight most dangerous countries in the world will see their population grow at a much faster pace than the developing world as a whole (Chart II-16). Some individual country comparisons are striking. The UN’s projections show that Nigeria’s population will exceed that of the U.S. by 2050, The Democratic Republic of Congo’s population will match that of Japan by 2030 and by 2050 will be 80% larger (Chart II-17A and B). Similarly, Afghanistan will overtake Italy in the 2040s. Most incredibly, Africa’s overall population surpassed that of the whole of Europe in the second half of the 1990s and is projected to be 3.5 times larger by 2050. That suggests that the numbers seeking to migrate from Africa to Europe will increase dramatically in the next couple of decades. Controlling these flows will become an increasing challenge for countries in Southern Europe. Migration is the logical solution to declining working-age populations in the developed world and expanding young populations in the developing world. However, there currently is a backlash against immigration in many developed countries. Anti-immigration political parties are gaining strength in many European countries and immigration was a major factor influencing the Brexit vote in the U.K. And it is a hot-button political issue in the U.S. Concerns about immigration are twofold: competition for employment and potential cultural change. Employment fears have coincided with a long period of severely depressed wages for low-skill workers in many developed economies and immigration is an easy target for blame. Meanwhile, the cultural challenge of absorbing large numbers of immigrants clearly has fueled increased nationalist sentiment in a number of countries. In the U.S., projections by the Bureau of the Census show that the non-Hispanic white population will fall below 50% of the total by 2045. That has implications for voting patterns and lies behind some of the concerns about high levels of immigration. There is no simple solution to this controversial issue and an in-depth discussion is beyond the scope of this article. Conclusions We have only touched on some aspects of demographic trends. It is a huge topic and has many other implications. For example, the political and cultural views of each generation are shaped by the environment they grow up in and this changes over time. This year, the number of millennials (those born from the early 1980s to the mid-1990s) in the U.S. is expected to surpass those of baby boomers and that will have important political and social implications. Again, that is beyond the scope of this report. The demographic trends we have discussed will pose serious challenges to policymakers. In the developed world, the baby boom generation has accumulated huge amounts of government debt, partly to fund generous entitlement programs and did not have enough children to ease the burdens on future generations. The young have good reason to feel frustrated by the actions of their elders (see cartoon). In the developing world, the challenge will be to provide economic opportunities for a growing pool of young people. The biggest problems will be in Africa, a continent where economic success stories have been few and far between in the past. Failure to deal with this will have troubling implications for geopolitical stability. Martin H. Barnes Senior Vice President Economic Advisor   Footnotes 1       Most of the data referred to in this report comes from the medium variant projections from the United Nation’s World Population Prospects report, 2017 revision. There is an excellent online database tool that allows users to access numerous demographic series for every country and region in the world. This can be found at https://population.un.org/wpp/DataQuery/ 2       Edward N. Wolff, Household Wealth Trends in the United States, 1962 to 2016. NBER Working Paper 24085, November 2017. Available at: https://www.nber.org/papers/w24085. 3       This is not a joke: https://www.businessinsider.com/signs-japan-demographic-time-bomb-2017-3 4       The Impact of Workforce Aging on European Productivity. IMF Working Paper, December 2016. Available at: https://www.imf.org/en/Publications/WP/Issues/2016/12/31/The-Impact-of-Workforce-Aging-on-European-Productivity-44450 5       The Effect of Population Aging on Economic Growth, the Labor Force and Productivity. NBER Working Paper 22452, July 2016. Available at https://www.nber.org/papers/w22452.pdf 6              For example, see “Will Grandpa Sink The Stock Market?”, The Bank Credit Analyst, September 2014. 7       The Baby Boom, The Bay Bust, and the Housing Market. NBER Working Paper 2794. Available at: https://www.nber.org/papers/w2794 8       For those interested in this topic, we recommend the following paper: Demographics and Asset Markets: A Survey of the Literature. Available at: https://pdfs.semanticscholar.org/912a/5d6d196c3405e37b3a50d797cbf65a27ba44.pdf 9       Global Peace Index, 2018. Available at: http://visionofhumanity.org/app/uploads/2018/06/Global-Peace-Index-2018-2.pdf. According to this index, the eight least-safe countries are (starting with the most dangerous): Syria, Afghanistan, South Sudan, Iraq, Somalia, Yemen, Libya, and Democratic Republic of the Congo.  

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Highlights After rising for thousands of years, human intelligence has begun to decline in developed economies. This can be seen in falling IQ scores and a decline in math and science test scores. Environmental factors appear to account for the bulk of this decline, but no one knows what these factors are. If left unchecked, falling intelligence will severely undermine productivity growth. This could lead to lower equity multiples, larger budget deficits, and ultimately, much higher government bond yields. Technological advances, particularly in the genetic realm, promise to radically raise IQs. In a complete abandonment of its one-child policy, China will combine these controversial technologies with pro-natal measures in order to boost sagging birth rates. The coming Eugenic Wars will be one of the most important economic and geopolitical developments of the 21st century. Feature Part 1: What The Tame Fox Says In 1959, a Soviet scientist named Dmitry Belyaev embarked on an ambitious experiment: to domesticate the silver fox. A geneticist by training, Belyaev wanted to replicate the process by which animals such as cats and dogs came to live side-by-side with humans. It was a risky endeavor. The Soviets had essentially banned the study of Mendelian genetics in favor of the blank slate ideology that is popular in progressive circles today. Belyaev persevered. Working under the guise of studying vulpine physiology, he selected foxes based on only one trait – tamability. Less than 10% of foxes made it to the subsequent generation, with the other 90% being sent off to fur farms. By the fourth generation, the changes were undeniable. Rather than fleeing humans, the foxes sought out their attention with no prompting whatsoever. They even wagged their tails and whined and whimpered like dogs do. The tame foxes also displayed physical changes. Their ears flopped over. Their snouts became shorter and their tails stood upright. “By intense selective breeding, we have compressed into a few decades an ancient process that originally unfolded over thousands of years,” wrote Lyudmila Trut, who began as Belyaev’s assistant and took over the project when her boss died in 1985.  Genetically Capitalist? Evolution can broadly proceed in two ways. The first way is through random mutations. This form of evolution, which scientists sometimes refer to as genetic drift, can take thousands of years to yield any discernable changes. The second way is through natural selection, a process that exploits existing variations in genetic traits. As the Russian fox experiment illustrates, evolution driven by selective pressures (either natural or artificial) can occur fairly quickly. Did selective pressures manifest themselves in human evolution in the lead up to the Industrial Revolution? Did humans, in some sense, domesticate themselves? In his book, A Farewell To Alms, economic historian Gregory Clark argued in the affirmative. Clark documented that members of skilled professions in Medieval England had twice as many surviving children as unskilled workers (Chart 1). Indeed, the fledgling middle class of the time had even more surviving children than the aristocracy, who were often out fighting wars. As a result, the wages of craftsmen declined by a third relative to laborers between 1200 and 1800, implying that the supply of skilled labor was growing more quickly than the demand for skilled workers over this period. In subsequent work, Clark and Cummins argued that the spread of bourgeois values across pre-industrial England was more consistent with a model of genetic transmission than a cultural one (see Box 1 for details). Similar developments occurred in other parts of the world. For example, in China, the gateway into the bureaucracy for a thousand years was the highly competitive imperial exam. Xi Song, Cameron Campbell, and James Lee showed that high-status men had more surviving children during the eighteenth- and nineteenth-centuries (Chart 2).1 The 10,000 Year Explosion Stephen Jay Gould famously said that “There’s been no biological change in humans in 40,000 or 50,000 years. Everything we call culture and civilization we’ve built with the same body and brain.” Gould was wrong. Data from the International HapMap Project show that human evolution accelerated by 100-fold starting around 10,000 years ago (Chart 3). In their book The 10,000 Year Explosion: How Civilization Accelerated Human Evolution, Gregory Cochran and the late Henry Harpending explained why evolution sped up so rapidly.2 The advent of agriculture led to a surge in population levels. This, in turn, increased the absolute number of potentially beneficial genetic mutations that could be subject to selection effects. Farming and the rise of city states also completely reshaped the environment in which people lived. Basic biology teaches us that environmental dislocations of this kind tend to generate selective pressures that cause evolution to accelerate. John Hawks, professor of anthropology and genetics at the University of Wisconsin-Madison, put it best: “We are more different genetically from people living 5,000 years ago than they were different from Neanderthals.” Many of the changes to our genomes relate to diet and diseases. The various genetic resistances that people have built up to malaria are all less than 10,000 years old. Mutations to the LCT gene, which confers lactose tolerance into adulthood, occurred independently in three different geographical locations: one in East Asia, one in the Middle East, and one in Africa. The Middle Eastern variant was probably responsible for the rapid enlargement of the Indo-European language group, which now stretches from India to Ireland. The African variant likely facilitated the Bantu expansion, which started near the present-day border of Nigeria and Cameroon, and then spread out across almost all of sub-Saharan Africa. Evolution Of The Human Brain About half of the genes in the human genome regulate some aspect of brain function. Given the rapid acceleration in evolution, it would be rather surprising if our own brains had not been affected. And indeed, there is plenty of evidence that they were. The frontal lobe of the brain has increased in size over the past 10,000 years. This is the part of the brain that regulates such things as language, memory, and long-term planning. Testosterone levels have also declined. That may explain the steady reduction in violent crime rates (Chart 4). We know that certain genes that are associated with higher intelligence have been under recent selective pressure. For example, the gene that leads to torsion dystonia – a debilitating movement disorder – appears to have increased in frequency. Why would a gene that causes a known disease become more widespread? The answer is that individuals who have this particular mutation tend to have IQs that are around 10-to 20-points above the population average. Why IQ Matters IQ has a long and contentious history. Yet, despite numerous efforts to jettison the concept, it has endured for one simple reason: It has more predictive power than virtually anything else in the psychological realm. A simple 30-minute IQ test can help predict future educational attainment, job performance, income, health, criminality, and fertility choices (Table 1 and Chart 5). IQ even predicts trader performance!3 Table 1What IQ Predicts (Results From Meta-Analyses)   Like most physiological traits, IQ is highly heritable.4 The genetic contribution to IQ increases from 20% in early childhood to as high as 80% by one’s late teens and remains at that level well into adulthood.5 This makes IQ almost as heritable as height (Chart 6). Although there is a great deal of variation among individuals, on average, more intelligent people earn higher incomes (Chart 7). If the same relationship existed in the pre-industrial era, as seems likely, then human intelligence probably increased in a way that facilitated the economic explosion that we associate with the Industrial Revolution. The stunning implication is that the emergence of the modern era was a question of “when, not if.” Part 2: The Flynn Effect By the late-19th century, it had become clear that the rich were no longer having as many children as the poor. This realization, together with the growing popularity of Darwin’s theories, helped galvanize the eugenics movement. Contrary to popular belief, this movement was not a product of the far-right. In fact, the most vocal proponents of eugenics were among the progressive left. John Maynard Keynes, for example, served as the Director of the British Eugenics Society between 1937 and 1944. Yet, a funny thing happened on the road to idiocracy: The concerns of eugenicists did not come to pass. Rather than becoming dimmer, people became smarter. This phenomenon is now known as the Flynn Effect, named after James Flynn, a psychologist who was among the first to document it. Chart 8 shows the evolution of IQ scores in a sample of countries between 1940 and 1990. The average country recorded IQ gains of three points per decade over this period, a remarkably large increase over such a relatively short period of time. Explaining The Flynn Effect The Flynn Effect must have been entirely driven by environmental factors since genetic factors – namely the tendency of less-educated people to have more children, and to have them at an earlier age – would have reduced average IQs over the past two hundred years. But how could environmental factors have played the dominant role in light of the strong role of genes discussed above? The answer was proposed by geneticist Richard Lewontin in the 1970s. Lewontin suggested imagining a genetically-diverse sack of seed corn randomly distributed between two large identical fields. One field had fertilizer added to it while the other did not. Genetic variation would explain all of the differences in the height of corn stalks within each field, while environmental factors (the addition of fertilizer) would explain all of the difference in the average height of corn stalks between the two fields. This logic explains why genes can account for the bulk of the variation in IQs within any demographic group, while environmental effects may explain most of the variation across groups, as well as why average scores have changed over time. And what environmental effects are these? The truth is that no one really knows. Plenty of theories have been advanced, but so far there is still little consensus on the matter. Bigger, Healthier Brains It has long been known that learning increases the amount of grey matter in the brain. For example, a recent study showed that the hippocampi of London taxi drivers tend to be larger due to the need for drivers to memorize and navigate complex routes.6 The emergence of modern societies likely kicked off a virtuous circle where the need to solve increasingly complex tasks forced people to hone their learning skills, leading to higher IQs and further technological progress. The introduction of universal primary education amplified this virtuous circle. Better health undoubtedly helped as well. Early childhood diseases reduce IQ by diverting the body’s resources away from mental development towards fighting off infections. There is a strong correlation between measured IQ and disease burden across countries (Chart 9). A number of studies have documented a strong relationship between the timing of malaria eradication in the U.S. and other parts of the world and subsequent observed gains in childhood IQs.7 Brain size and IQ are positively correlated. Forensic evidence from the U.S. suggests that the average volume of adult human skulls has increased by 7% since the late 1800s, or roughly the size of a tennis ball.8 Part 3: The End Of A 10,000 Year Trend The problem with environmental effects is that they eventually run into diminishing returns. This appears to have happened with the Flynn Effect. In fact, not only does the recent evidence suggest that the Flynn Effect has ended, but the data suggest that IQs are starting to decline. Chart 10 shows that average math and science test scores fell in the OECD’s Program For International Scholastic Achievement (PISA) between 2009 and 2015, the latest year of the examination. The drop in math and science test scores has been mirrored in falling IQ scores. Flynn observed a decade ago that IQs of British teenagers were slipping.9 Similar results have been documented in France, the Netherlands, Germany, Denmark, and most recently, Norway. The Norwegian results, published last year, are particularly noteworthy.10 Bernt Bratsberg and Ole Rogeberg examined three-decades worth of data on IQ tests of Norwegian military conscripts. Military duty has been mandatory for almost all men in Norway since 1814, which means that the study’s authors were able to collect comprehensive data on most Norwegian men and their fathers.  Their paper clearly shows that IQ peaked with the generation born in the mid-1970s and declined by about five points, or one-third of a standard deviation, for the one born in 1990 (Chart 11). For the first time in recorded history, Norwegian kids today are not scoring as well as their parents. A Mystery What caused the sudden reversal of the Flynn Effect in Norway and most other developed economies? Nobody knows. We can, however, offer three possible theories: New Technologies For much of human history, rising intelligence and technological innovation were complementary processes, meaning that the smartest people were the ones who could best exploit the new technologies that were coming their way. Moreover, as noted above, even those who were less gifted benefited from the mental stimulation that a technologically advanced society provided. It remains to be seen how future technological advances such as generalized AI will affect human intelligence, but recent technological advances seem to have had a dumbing down effect.11 For example, the GPS has obviated the need for people to navigate unfamiliar locations, thus blunting the development of their visuospatial skills. Modern word processors have made spelling skills less important. Having all the information in the world just a click away is a wonderful thing, but it has reduced the need for our brains to retain and codify what we learn. Meanwhile, the constant bombardment of information to which we are subject has made it difficult to concentrate on anything for long. How many youth today can read a report of this length without checking their Facebook feed multiple times? My guess is not many. Diminishing Returns To Education The ability to take young bright minds, who would have otherwise spent their lives doing menial labor, and provide them with an education was probably the greatest tailwind to growth that the 20th century enjoyed. There is undoubtedly still scope to continue this process, but the low-hanging fruit have been picked. Educational attainment has slowed dramatically in most of the world (Chart 12). Economist James Heckman estimates that U.S. high-school graduation rates, properly measured, peaked over 40 years ago.12 Despite billions of dollars spent, efforts to improve school performance have generally fallen flat. A recent high-level report by the U.S. Department of Education concluded that “The panel did not find any empirical studies that reached the rigor necessary to determine that specific turnaround practices produce significantly better academic outcomes.”13 This gets to a point that most parents already know, which is that when people talk about “bad schools,” they are really talking about “bad students.” Deteriorating Health Better health probably contributed to the Flynn Effect. But is it possible to have too much of a good thing? More calories are welcome when people are starving, but today’s calorie-rich, nutrient-poor diets have led to a surge in obesity rates. A clean environment reduces the spread of germs, but it also makes children hypersensitive to foreign substances. Following German reunification, researchers observed that allergies were much more common among West German children than their Eastern peers, presumably because of the West’s more salubrious environment.14 All sorts of weird and concerning physiological changes are occurring. Sperm counts have fallen by nearly 60% since the early 1970s.15 Testosterone levels in young men are dropping. Among girls, the age of first menarche has declined by two years over the past century.16 Are chemical agents in the environment responsible? If they are, what impact are they having on cognitive development? Nobody knows. Reported mental illness is also on the rise. The share of U.S. teenagers with a reported major depressive episode over the prior year surged by over 60% between 2010 and 2017 (Chart 13). The fraction of young adults that made suicide plans nearly doubled.17 More than 20% of U.S. women over the age of 40 are on antidepressants.18 Five percent of U.S. children are receiving ADHD medication.19 Implications For Economic Growth And Asset Markets So far, the reversal of the Flynn Effect has been largely confined to the developed economies. Test scores are still rising in the developing world, albeit from fairly low levels. For example, two recent studies have documented significant IQ gains in Kenya and Brazil.20 In the poorest countries, opportunities for improving health abound. Even small steps such as fortifying salt with iodine (which costs about five cents per person per year) have been shown to boost IQ by nearly one standard deviation.21 Measures to reduce inbreeding are also likely to boost IQ scores.22 Yet, we should not underestimate the importance of falling cognitive skills in developed economies. Chart 14 shows that there is a clear positive correlation between student score on math and science and per capita incomes. Most technological innovation still takes place in developed economies. There is an extremely tight relationship between visuospatial IQ and the likelihood of becoming an inventor (Chart 15). Since IQ is distributed along a bell curve, a 0.1 standard deviation drop in IQs across the entire distribution will result in an 8% decline in the share of people with IQs over 100, a 14% decline in those with IQs over 115, and a 21% decline in those with an IQ over 130 (by convention, each standard deviation on an IQ test is worth 15 points). Falling IQs could result in slower productivity growth, which could further strain fiscal balances. Lower IQs are also associated with decreased future orientation.23 People who live for the moment tend to save less. A decline in savings would push up real rates, leading to less capital accumulation. History suggests that a deceleration in productivity growth and higher real rates will put downward pressure on equity multiples (Chart 16). Chart 16Equity Multiples Tend To Fall When Real Rates Rise And Productivity Growth Declines Part 4: Generation E For 200 years, the environmentally-driven Flynn Effect disguised the underlying genetically-driven decline in IQs that began not long after the dawn of the Industrial Revolution. Flynn has acknowledged this himself, noting at the 2017 International Society For Intelligence Research Conference that “I have no doubt that there has been some deterioration of genetic quality for intelligence since the late Victorian times.”24 Now that the Flynn Effect has reversed, both genes and the environment are working together to reduce cognitive abilities in developed economies. This means that the most important trend in the world – a trend that allowed the human population to increase during the Malthusian era and later allowed output-per-worker to soar following the Industrial Revolution – has broken down. Yet, there may be another twist in the story – one that began just a few months ago: the first members of Generation E were born. E Is For Edited ... Or Eugenics Lulu and Nana will be like most other children, but with one key difference: They will be the first humans ever to have their genomes edited through a procedure know as CRISPR-Cas9. Rogue Chinese scientist He Jiankui deactivated their CCR5 gene, which the HIV virus uses as a gateway into the body. His actions were rightfully condemned around the world for endangering the twins’ health by using a procedure that has not yet been fully vetted in animal studies, let alone in human trials (Lulu and Nana’s father is HIV+ but it is debatable whether the children were at an elevated risk of infection). He Jiankui remains under house arrest at the university where he worked. But whatever his fate, the dam has been broken. For better or for worse, the era of personal eugenics has arrived. The Return Of The Silver Fox It is easier to delete a gene than to add one. It is even more difficult to swap out a large number of genes in a way that achieves a predictable outcome. Thus, the successful manipulation of highly polygenic traits such as intelligence – traits that are linked to hundreds of different genes – may still be decades away.25 Predicting a trait is much simpler than modifying it, however. The cost of sequencing a human genome has fallen by more than 99% since 2001 (Chart 17). Start-up company Genomic Prediction has already developed a test for fertilized embryos for IVF users that predicts height within a few centimetres and IQ with a correlation of 0.3-to-0.4, roughly as accurate as standardized tests such as the SAT or ACT.26 Other companies are following suit.27 Some will recoil in horror at the prospect of selecting prospective children in this manner. They will argue that such technologies, beyond being simply immoral, will widen social inequality between those who can afford them and those who cannot. Others will counter that screening embryos for certain traits is not that dissimilar to what people already do with prospective romantic partners. They will also point out that mass usage of these technologies will drive down prices to the point that even poor people will be able to access them, thus giving low IQ parents the chance to have high IQ kids. They might also note that such technologies may be the only way to reverse the ongoing accumulation of deleterious mutations within the human germline that has been the unintended by-product of the proliferation of life-saving medicines.28 We will not wade into this thorny debate, other than to note that there will be huge incentives for people to avail themselves of these technologies. The Coming Eugenic Wars And not just individuals either – governments too. While the initial impact of eugenic technologies will be small, the effects will compound over time. Carl Shulman and Nick Bostrom estimate that genetic screening could boost average IQs by up to 65 points in five generations (Table 2). Table 2A Poisoned Chalice? Genetic Screening Can Raise IQ China has been investing heavily in genetic technologies. As Geoffrey Miller has argued, China’s infatuation with eugenics spans into the modern day.29 Like most other countries, fertility in China is negatively correlated with IQ. Mingrui Wang, John Fuerst, and Jianjun Ren estimate that China is currently losing nearly one-third of a point in generalized intelligence per decade, with the loss having accelerated rapidly between the 1960s and mid-1980s.30 The decline in the genetic component of Chinese IQs is coming at a time when the population itself is about to shrink. According to the UN’s baseline forecast, China will lose 450 million working-age people by the end of the century (Chart 18). Meanwhile, the country is saddled with debt, the result of an economic model that has, for decades, recycled copious household savings into debt-financed fixed-investment spending in an effort to shore up domestic demand. The authorities may be tempted to tackle all three problems simultaneously by adopting generous pro-natal measures – call it the “at least one-child policy”– which increasingly harnesses emerging eugenic technologies. The resulting baby boom would strengthen domestic demand, thus making the economy less dependent on exports, while ensuring China’s long-term geopolitical viability. The Eugenic Wars are coming, and they will be unlike anything the world has seen before.   Peter Berezin, Chief Global Strategist Global Investment Strategy  peterb@bcaresearch.com     Box 1  The Diffusion Of Bourgeois Values: Culture Or Genes? Higher-income people had more surviving children in the centuries leading up to the Industrial Revolution. Real per capita income was broadly stable during this period. This implies that there must have been downward social mobility, with sons, on average, being less wealthy than their fathers. This downward mobility, in turn, spread the characteristics of higher-income people across the broad swathe of society. What were these characteristics? Cultural values that emphasized thrift, diligence, and literacy were undoubtedly part of what was passed on to future generations. But surprisingly, it also appears that genetic transmission played an important, and perhaps pivotal, role.  Models of genetic transmission make very concrete predictions about the correlations in economic status that one would expect to see among relatives. Biological brothers share 50% of their genes, as do fathers and sons. Likewise, first cousins share 25% of their genes, the same as grandfathers and sons. These facts yield two testable predictions: The first is that the correlation coefficient on status measures such as wealth, occupation, and education should be the same for relatives that share the same fraction of genes such as sibling pairs and father-son pairs. Box Chart 1 shows that this is borne out by the data. The second prediction is that the correlation between status and genetic distance should follow a linear trend so that, for example, the correlation in wealth among brothers is twice that of first cousins and four times that of second cousins. Box Chart 2 shows that this is also borne out by the data. Other evidence supports the importance of genes in the transmission of status across generations. The correlation in measures such as wealth, education, and occupation is much higher among identical twins than fraternal twins. Adopted children turn out to be more similar to their biological parents on these measures when they reach adulthood than their adopted parents, even when the children have never met their biological parents. The parent-child correlation also remains the same regardless of family size, suggesting that spreading the same resources over more children may not harm life outcomes to any discernible degree, at least on the measures listed above.   Source: Gregory Clark and Neil Cummins, "Nature Versus Nurture in Social Outcomes. A Lineage Study of 263,000 English Individuals, 1750-2017," Luxembourg Institute of Socio-Economic Research.   Footnotes 1      Xi Song, Cameron Campbell, and James Lee, "Descent Line Growth and Extinction From A Multigenerational Perspective, Extended Abstract," American Sociological Review 80:3, (April 21, 2015): 574-602. 2      Gregory Cochran and Henry Harpending, "The 10,000 Year Explosion: How Civilization Accelerated Human Evolution," Basic Books, (2009). 3      Mark Grinblatt, Matti Keloharju, and Juhani T. Linnainmaa, “IQ, Trading Behavior, and Performance,” Journal of Financial Economics, 104:2, (May 2012): 339-362. 4      Thomas Bouchard, “Genetic Influence On Human Psychological Traits - A Survey,” Current Directions in Psychological Science 13:4, (August 2004): 148-151. 5      The tendency for the genetic contribution to IQ to increase until early adulthood and then to remain at high levels until old age is known as the Wilson Effect. There is no consensus on what causes it, but it probably reflects a number of factors: 1) It may take some children longer than normal to reach full intellectual maturity. Testing their IQs at a young age will result in scores that are lower than those expected based on their parents’ IQs. The opposite is true for children whose IQs increase relatively quickly in young age, but possibly top out earlier; 2) Environmental effects are probably more important in young age when a child’s brain is still quite malleable; 3) Self-reinforcing gene-environment interactions tend to increase with age. Children do not have much control over their environment, but as they get older, they will seek out activities that are more in keeping with their genetic predispositions. For example, a studious child may pursue a career that reinforces their love of learning. 6       "Cache Cab: Taxi Drivers' Brains Grow to Navigate London's Streets," Scientific American, (December 2011). 7       Atheendar Venkataramani, “Early Life Exposure to Malaria and Cognition in Adulthood: Evidence from Mexico,” Journal of Health Economics 31:5, (July 2012): 767-780; Hoyt Bleakley, “Health, Human Capital and Development,” Annual Review of Economics 2, (March 2010): 283-310; Hoyt Bleakley, “Malaria Eradication in the Americas: A Retrospective Analysis of Childhood Exposure,” American Economic Journal: Applied Economics 2, (April 2010): 1-45. 8       “Anthropologists Find American Heads Are Getting Larger,” ScienceDaily, (May 2012). 9       “British Teenagers Have Lower IQs Than Their Counterparts Did 30 Years Ago,” The Telegraph, (February 2009). 10     Bernt Bratsberg and Ole Rogeberg, “Flynn Effect And Its Reversal Are Both Environmentally Caused,” Proceedings of the National Academy of Sciences 115:26, (June 2018): 6674-6678. 11     On the face of it, artificial intelligence would appear to be a substitute for human intelligence. Many applications of AI would undoubtedly have this feature, especially those that allow computers to perform complex mental tasks that humans now must do. However, there are several ways that AI may eventually come to complement human intelligence. First, and most obviously, AI could be used to augment human capabilities either directly by hardwiring it into our brains, or indirectly through the development of drugs or genetic techniques which improve cognition. Second, looking further out, the benefits of highly intelligent AI systems would be limited if humans did not possess the requisite intelligence to understand certain concepts that are currently beyond our mental reach. No matter how well intentioned, trying to explain string theory to a mouse is not going to succeed. There are probably a multitude of ideas that AI could reveal that we simply cannot comprehend at current levels of human intelligence. 12     James Heckman and Paul La Fontaine, “The American High School Graduation Rate: Trends and Levels,” The Review of Economics and Statistics 92:2, (May 2010): 244–262. 13     “Turning Around Chronically Low-Performing Schools,” The Institute of Education Sciences (IES), (May 2008). 14     E. von Mutius, F.D. Martinez, C. Fritzsch, T. Nicolai, G. Roell, and H. H. Thiemann, "Prevalence Of Asthma And Atopy In Two Areas Of West Germany And East Germany," American Journal of Respiratory and Critical Care Medicine 149:2, (February 1994): 358-64. 15     "Sperm Counts In The West Plunge By 60% In 40 Years As ‘Modern Life’ Damages Men’s Health," Independent, (July 2017). 16     Kaspar Sørensen, Annette Mouritsen, Lise Aksglaede, Casper P. Hagen, Signe Sloth Mogensen, and Anders Juul, "Recent Secular Trends in Pubertal Timing: Implications for Evaluation and Diagnosis of Precocious Puberty," Hormone Research in Paediatrics 77:3, (May 2012): 137-145. 17     “Results from the 2017 National Survey On Drug Use And Health: Detailed Tables,” Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality, Rockville (Maryland), (September, 2018). 18     Laura A. Pratt, Debra J. Brody, and Qiuping Gu, “Antidepressant Use Among Persons Aged 12 and Over: United States, 2011–2014,” NCHS Data Brief No. 283, Centers for Disease Control and Prevention, (August 2017). 19     Some, but not all, of the increase in reported rates of mental illness may be due to more aggressive diagnosis by health practitioners. For example, a recent study revealed that children born in August were 30% more likely to receive an ADHD diagnosis than those born in September, simply because they were less mature compared to other kids in the first few years of elementary school. See: Timothy J. Layton, Michael L. Barnett, Tanner R. Hicks, and Anupam B. Jena, “Attention Deficit-Hyperactivity Disorder and Month of School Enrollment,” New England Journal of Medicine 379:22, (November 2018): 2122-2130. 20     Tamara C. Daley, Shannon E. Whaley, Marian D. Sigman, Michael P. Espinosa, and Charlotte Neumann, “IQ On The Rise: The Flynn Effect In Rural Kenyan Children,” Psychological Science 14:3, (June 2003): 215-9; Jakob Pietschnig and Martin Voracek, “One Century of Global IQ Gains: A Formal Meta-Analysis of the Flynn Effect (1909-2013),” Perspectives on Psychological Science 10:3, (May 2015): 282-306. 21     N. Bleichrodt and M. P. Born, “Meta-Analysis of Research on Iodine and Its Relationship to Cognitive Development,” In: ed. J. B. Stanbury, “The Damaged Brain of Iodine Deficiency,” Cognizant Communication Corporation, New York, (1994): 195-200; “Iodine status worldwide: WHO Global Database on Iodine Deficiency,” World Health Organization, Geneva, (2004). 22     Mohd Fareed and Mohammad Afzal, “Estimating the Inbreeding Depression on Cognitive Behavior: A Population Based Study of Child Cohort,” PLOS ONE 9:12, (October 2015): e109585. 23     H. de Wit, J. D. Flory, A. Acheson, M. McCloskey, and S. B. Manuck, “IQ And Nonplanning Impulsivity Are Independently Associated With Delay Discounting In Middle-Aged Adults,” Personality and Individual Differences 42:1, (January 2007): 111-121; W. Mischel and R. Metzner, “Preference For Delayed Reward As A Function Of Age, Intelligence, And Length Of Delay Interval,” Journal of Abnormal and Social Psychology 64:6, (July 1962): 425-31. 24     James Flynn, “IQ decline and Piaget: Does the rot start at the top?” Lifetime Achievement Award Address, 18th Annual meeting of ISIR, (July 2017). 25     For a good discussion of these issues, please see Richard J. Haier, “The Neuroscience of Intelligence,” Cambridge Fundamentals of Neuroscience in Psychology, (December 2016). 26     “The Future of In-Vitro Fertilization and Gene Editing,” Psychology Today, (December 2018). 27     “DNA Tests For IQ Are Coming, But It Might Not Be Smart To Take One,” MIT Technology Review, (April 2018). 28     Michael Lynch, “Rate, Molecular Spectrum, And Consequences Of Human Mutation,” Proceedings of the National Academy of Sciences 107:3, (January 2010): 961-968. 29     Geoffrey Miller, “What *Should* We Be Worried About?” Edge, (2013). 30     Mingrui Wang, John Fuerst, and Jianjun Ren, “Evidence Of Dysgenic Fertility In China,” Intelligence 57, (April 2016): 15-24. Strategy & Market Trends MacroQuant Model And Current Subjective Scores Tactical Trades Strategic Recommendations Closed Trades

Highlights One of Europe's major success stories is the structural and broad-based increase in female labour participation rates. The trend is set to continue for the next decade. Stay overweight the Personal Products sector as a long-term position. Italy's decade-long stagnation is not a deep-seated structural malaise. It is a protracted cyclical downturn resulting from a banking system that was never repaired after the 2008 financial crisis combined with wholly inappropriate fiscal austerity. We expect Italy's new government to push back against the EU's misguided fiscal rules and correct this decade-long error. Buy exposure to Italian real estate as a new long-term position either directly or through Italy's small real estate equity sector. Feature Some analysts persist on comparing economic performances on the basis of real GDP per head of total population. But the total population includes children and the elderly who cannot contribute to economic output. Therefore, a correct assessment of economic performance should look at real GDP per head of working-age population. Chart I-1AWomen Are Powering The European Economy... Chart I-1B ...Less So In The U.S. Admittedly, as the retirement age rises, the definition of 'working-age' will gradually change, but the general principle still holds: only count in the denominator those who can contribute to economic output. GDP per head of working-age population can grow in several ways. One way is to get more output or better output from each hour worked through improvements in efficiency and/or quality. As this improvement is theoretically limitless, it is the main source of productivity gains in the long run. A second way is for each worker to work more hours. But given the physical and legal constraints on productive working time, there is only limited scope to increase output in this way. How Women Are Powering The European Economy There is one other way to increase GDP per head of working-age population: increase the percentage of the working age population that is in the labour force.1 In other words, structurally increase the labour participation rate. If this participation rate is already high - as it is for men - then there is little scope to increase it much further. But if the participation rate is low - as it is for European women - then there is considerable scope to increase it. This brings us to one of Europe's major, and largely untold, success stories - the structural and broad-based increase in female participation rates (Chart I-1-Chart I-5). Over the past twenty years, the EU28 female participation rate has risen from 57% to 68%, with an especially large contribution from the socially conservative southern countries. In Spain, female participation has surged from 47% to 70%. In Italy, it has shot up from 42% to 56% and has clear scope to rise much further. Chart I-2Italy: Labour Force Participation Rate Chart I-3Spain: Labour Force Participation Rate Chart I-4Germany: Labour Force Participation Rate Chart I-5France: Labour Force Participation Rate What is driving this structural trend? Two things. First, the employment sectors that are growing structurally - healthcare, social care, and education - tend to employ more women than men. Second, European countries have legislated a raft of policies encouraging women to join and remain in the labour force: generous paid maternity leave and subsidised childcare. The trend is for further improvements, with the focus now on improving paternity leave. Sharing parental and family responsibilities between mothers and fathers allows more women to enter and stay in the labour force.2 For the ultimate end-point in the trend, look to the Scandinavian countries which started such policies in the early 1970s. In Sweden, labour force participation for women and men is almost identical: 81% versus 84%. If the EU eventually adopts the Scandinavian model, it would mean another 20 million European women in employment and contributing to economic output (Chart I-6). Chart I-6Another 20 Million European Women ##br##Could Join The Labour Force Dispelling Two Myths: The Euro Area And Italy Having established that economic performances should be compared on the basis of GDP per head of working age population, we can now dispel two common myths. The first myth is that the U.S. generates superior productivity growth than the euro area. It is true that the U.S. has been better at getting more output from each hour worked, so on this measure, the U.S. does win. Against this, the euro area has been much better at getting more of its working-age population - albeit mostly women - into employment. So on this measure, the euro area wins (Chart of the Week). The net result is that, over the past twenty years, the U.S and the euro area have generated exactly the same growth in real GDP per working-age population (Chart I-7). Of course, the euro area's structural improvement in female participation rates cannot continue forever, but it can certainly continue for another decade or so, and this is generally the longest time horizon that most investors care about. Chart I-7The Euro Area And The U.S.: Identical Growth In Real GDP Per Head Of Working-Age Population The second myth concerns the subject du jour: Italy. Many people claim that Italy's economic stagnation is due to deep-seated structural problems which differentiate it from other major economies. The problem with this narrative is that from the mid-1990s until 2008 the growth in Italy's real GDP per head of working age population was little different to that in Germany, France or the U.S. (Chart I-8). Chart I-8Italy Performed In Line With Other Major Economies Until 2008 Italy's economic stagnation only started after the 2008 global financial crisis. After a financial crisis which cripples the banking system, there are two golden rules: unleash fiscal stimulus; and repair the banking system as quickly as possible. The U.S. and U.K. followed the golden rules perfectly and immediately; Ireland followed a couple of years later; Spain waited until 2013. But in each case, the economies rebounded very strongly as the fiscal stimulus kicked in and the banks recuperated. Italy neither unleashed fiscal stimulus, nor repaired its banks - so its economy has stagnated for a decade. Moreover, if output stagnates for a decade, it follows arithmetically that productivity growth will also look poor. In a back-to-front argument, critics have pounced on this as evidence of excessive 'red tape' and 'structural problems'. But this is a misdiagnosis of the malaise. To reiterate, Italy's real GDP per working-age population was growing very respectably before 2008. Italy's misfortune is that its indebtedness has an unusual profile: more public debt than private debt. France and Spain (and other major euro area economies) have the usual profile: less public debt than private debt. So the EU's fiscal rules - which can see only public debt and are blind to private debt - have severely and unfairly constrained Italy's ability to respond to financial crises. While every other major economy followed the golden rules to recover from the 2008 crisis, Italy could neither unleash fiscal stimulus to kick start the economy nor recapitalise its dysfunctional banking system. We expect Italy's new government to push back against the EU's misguided fiscal rules and correct this decade-long error. Two Structural Investment Conclusions This week's two investment conclusions are both long term, and require a buy and hold mentality. The first conclusion reiterates a structural position: overweight the Personal Products sector. This is based on our expectation that, in Europe, female participation rates will continue their structural uptrend; while in the U.S. we expect female participation rates to continue outperforming male participation rates. Therefore the sales and profits of the Personal Products sector, in which female spending dominates, will benefit from a multi-year tailwind, at least relative to other sectors. And the extent of this tailwind is not fully discounted in valuations. The second conclusion is a new long-term recommendation: buy exposure to Italian real estate. This is based on our assessment that Italy's decade-long stagnation is not a deep-seated structural malaise. Instead, it is a protracted cyclical downturn resulting from a banking system that was never repaired after the 2008 financial crisis combined with wholly inappropriate fiscal austerity. Removing these shackles will allow a long-term recovery, just as it did for Spain in 2013. If we are right, the best multi-year buy and hold play is Italian real estate which has been in a decade-long bear market (Chart I-9). For those that cannot directly invest in property, Italy has a small real estate equity sector which faithfully tracks the long term profile of real estate prices (Chart I-10), and whose main component is Beni Stabili. The caveat is that the stock has a market cap of just €2 billion; the appeal is that it offers a juicy dividend yield of 4.5%. Chart I-9Italian Real Estate Has Suffered ##br##A Decade-Long Bear Market Chart I-10Italian Real Estate Equities##br## Track Real Estate Prices Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com 1 And in employment. 2 Please see the European Investment Strategy Special Report "Female Participation: Another Mega-Trend" published on April 6, 2017 and available at eis.bcaresearch.com Fractal Trading Model* This week, we note that the 130-day fractal dimension for platinum versus nickel is close to its lower bound, a level which has consistently predicted a tradeable countertrend move over the following 130 days. Hence, this week's trade is long platinum/short nickel on a 130 horizon before expiry. The profit target is 14% with a symmetric stop-loss. Our two other open trades, long SEK/GBP and long PLN/USD, are both in profit. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment's fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-11 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. * For more details please see the European Investment Strategy Special Report "Fractals, Liquidity & A Trading Model," dated December 11, 2014, available at eis.bcaresearch.com Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch##br## - Interest Rate Expectations Chart II-6Indicators To Watch##br## - Interest Rate Expectations Chart II-7Indicators To Watch##br## - Interest Rate Expectations Chart II-8Indicators To Watch##br## - Interest Rate Expectations

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Dear Client, In addition to this Special Report, we are publishing our monthly Tactical Asset Allocation table and supporting indicators today. These can be accessed directly from our website. Best regards, Peter Berezin, Chief Global Strategist Highlights Megatrend #1: Population Aging. Aging has been deflationary over the past few decades, but will become inflationary over the coming years. Megatrend #2: Global Migration. International migration has the potential to lift millions out of poverty while boosting global productivity. However, if left unmanaged, it poses serious risks to economic stability. Megatrend #3: Social Fragmentation. Rising inequality, cultural self-segregation, and political polarization are imperilling democracy and threatening free-market institutions. On balance, these trends are likely to be negative for both bonds and equities over the long haul. Feature In today's increasingly short-term oriented world, it is easy to lose track of megatrends that are slowly shifting the ground under investors' feet. In this report, we tackle three key social/demographic trends. Megatrend #1: Population Aging Fertility rates have fallen below replacement levels across much of the planet. This has resulted in aging populations and slower labor force growth (Chart 1). In the standard neoclassical growth model, a decline in labor force growth pushes down the real neutral rate of interest, r*. This happens because slower labor force growth causes the capital stock to increase relative to the number of workers, resulting in a lower rate of return on capital.1 The problem with this model is that it treats the saving rate as fixed.2 In reality, the saving rate is likely to adjust to changes in the age composition of the workforce. Initially, as the median age of the population rises, aggregate savings will increase as more people move into their peak saving years (ages 30 to 50). This will put even further downward pressure on the neutral rate of interest. Eventually, however, savings will fall as these very same people enter retirement. This, in turn, will lead to a higher neutral rate of interest. If central banks drag their feet in raising policy rates in response to an increase in r*, monetary policy will end up being too stimulative. As economies overheat, inflation will pick up, leading to higher long-term nominal bond yields. Contrary to popular belief, spending actually increases later in life once health care costs are included in the tally (Chart 2). And despite all the happy talk about how people will work much longer in the future, the unfortunate fact is that the percentage of American 65 year-olds who are unable to lead active lives because of health care problems has risen from 8.8% to 12.5% over the past 10 years (Chart 3). Cognitive skills among 65 year-olds have also declined over this period. Chart 1Our Aging World Chart 2Savings Over The Life Cycle Chart 3Climbing Those Stairs Is Getting More And More Difficult We are approaching the inflection point where demographic trends will morph from being deflationary to being inflationary. Globally, the ratio of workers-to-consumers - the so-called "support ratio" - has peaked after a forty-year ascent (Chart 4). As the support ratio declines, global savings will fall. To say that global saving rates will decline is the same as saying that there will be more spending for every dollar of income. Since global income must sum to global GDP, this implies that global spending will rise relative to production. That is likely to be inflationary. The projected evolution of support ratios varies across countries. The most dramatic change will happen in China. China's support ratio peaked a few years ago and will fall sharply during the coming decade. Nearly one billion Chinese workers entered the global labor force during the 1980s and 1990s as the country opened up to the rest of the world. According to the UN, China will lose over 400 million workers over the remainder of the century (Chart 5). If the addition of millions of Chinese workers to the global labor force was deflationary in the past, their withdrawal will be inflationary in the future. The fabled "Chinese savings glut" will eventually dry up. Chart 4The Ratio Of Workers To Consumers Has Peaked Chart 5China On Course To Lose More Than 400 Million Workers Rising female labor force participation rates have blunted the effect of population aging in Europe and Japan. This has allowed the share of the population that is employed to increase over the past few decades. However, as female participation stabilizes and more people enter retirement, both regions will also see a rapid decline in saving rates. This could lead to a deterioration in their current account balances, with potential negative implications for the yen and the euro. Population aging is generally bad news for equities. The slower expansion in the labor force will reduce the trend GDP growth. This will curb revenue growth, and by extension, earnings growth. To make matter worse, to the extent that lower savings rates lead to higher real interest rates, population aging could reduce the price-earnings multiple at which stocks trade. This could be further exacerbated by the need for households to run down their wealth as they age, which presumably would include the sale of equities. Megatrend #2: Global Migration Economist Michael Clemens once characterized the free movement of people across national boundaries as a "trillion-dollar bill" just waiting to be picked up from the sidewalk.3 Millions of workers toil away in poor countries where corruption is rife and opportunities for gainful employment are limited. Global productivity levels would rise if they could move to rich countries where they could better utilize their talents. Academic studies suggest that less restrictive immigration policies would do much more to raise global output than freer trade policies. In fact, several studies have concluded that the removal of all barriers to labor mobility would more than double global GDP (Table 1). The problem is that many migrants today are poorly skilled. While they can produce more in rich countries than they can back home, they still tend to be less productive than the average native-born worker. This can be especially detrimental to less-skilled workers in rich countries who have to face greater competition - and ultimately, lower wages - for their labor. Chart 6 shows that the share of U.S. income accruing to the top one percent of households has closely tracked the foreign-born share of the population. Table 1Economic Benefits Of Open Borders Chart 6Immigration Versus Income Distribution Low-skilled migration can also place significant strains on social safety nets. These concerns are especially pronounced in Europe. The employment rate among immigrants in a number of European countries is substantially lower than for the native-born population (Chart 7). For example, in Sweden, the employment rate for immigrant men is about 10 percentage points lower than for native-born men. For women, the gap is 17 points. The OECD reckons that a typical 21-year old immigrant to Europe will contribute €87,000 less to public coffers in the form of lower taxes and higher welfare benefits than a non-immigrant of the same age (Chart 8). Chart 7Low Levels Of Immigrant Labor Participation In Parts Of Europe Chart 8Immigration Is Straining Generous European Welfare States All of this would matter little if the children of today's immigrants converged towards the national average in terms of income and educational attainment, as has usually occurred with past immigration waves. However, the evidence that this is happening is mixed. While there is a huge amount of variation within specific immigrant communities, on average, some groups have fared better than others. The children of Asian immigrants to the U.S. have tended to excel in school, whereas college completion rates among third-generation-and-higher, self-identified Hispanics are still only half that of native-born non-Hispanic whites (Chart 9). Across the OECD, second generation immigrant children tend to lag behind non-immigrant students, often by substantial margins (Chart 10). Chart 9Hispanic Educational Attainment Lags Behind Chart 10Worries About Immigrant Assimilation Immigration policies that place emphasis on attracting skilled migrants would mitigate these concerns. While such policies have been adopted in a number of countries, they have often been opposed by right-leaning business groups that benefit from cheap and abundant labor and left-leaning political parties that want the votes that immigrants and their descendants provide. Humanitarian concerns also make it difficult to curtail migration, especially when it is coming from war-torn regions. Chart 11The Projected Expansion In Sub-Saharan Population Europe's migration crisis has ebbed in recent months but could flare up at any time. In 2004, the United Nations estimated that sub-Saharan Africa's population will increase to 2 billion by the end of the century, up from one billion at present. In its 2017 revision, the UN doubled its projection to 4 billion. Nigeria's population is expected to rise to nearly 800 million by 2100; Congo's will soar to 370 million; Ethiopia's will hit 250 million (Chart 11). And even that may be too conservative because the UN assumes that the average number of births per woman in sub-Saharan Africa will fall from 5.1 to 2.2 over this period. For investors, the possibility that migration flows could become disorderly raises significant risks. For one, low-skill migration could also cause fiscal balances to deteriorate, leading to higher interest rates. Moreover, as we discuss in greater detail below, it could propel more populist parties into power. This is a particularly significant worry for Europe, where populist parties have often pursued business-sceptic, anti-EU agendas. Megatrend #3: ­­­Social Fragmentation In his book "Bowling Alone," Harvard sociologist Robert Putnam documented the breakdown of social capital across America, famously exemplified by the decline in bowling leagues.4 There is no single explanation for why communal ties appear to be fraying. Those on the left cite rising income and wealth inequality. Those on the right blame the welfare state and government policies that prioritize multiculturalism over assimilation. Conservative commentators also argue that today's cultural elites are no longer interested in instilling the rest of society with middle-class values. As a result, behaviours that were once only associated with the underclass have gone mainstream.5 Technological trends are exacerbating social fragmentation. Instead of bringing people together, the internet has allowed like-minded people to self-segregate into echo chambers where members of the community simply reinforce what others already believe. It is thus no surprise that political polarization has grown by leaps and bounds (Chart 12). Chart 12U.S. Political Polarization: Growing Apart When people can no longer see eye to eye, established institutions lose legitimacy. Chart 13 shows that trust in the media has collapsed, especially among right-leaning voters. Perhaps most worrying, support for democracy itself has dwindled around the world (Chart 14). It would be naïve to think that the public's rejection of the political establishment will not be mirrored in a loss of support for the business establishment. The Democrats "Better Deal" moves the party to the left on many economic issues. Nearly three-quarters of Democratic voters believe that corporations make "too much profit," up from about 60% in the 1990s (Chart 15). Chart 13The Erosion Of Trust In Media Chart 14Who Needs Democracy When You Have Tinder? Chart 15People Versus Companies The share of Republican voters who think corporations are undertaxed has stayed stable in the low-40s, but this may not last much longer. Wall Street, Silicon Valley, and the rest of the corporate establishment tend to lean liberal on social issues and conservative on economic ones - the exact opposite of a typical Trump voter. If Trump voters abandon corporate America, this will leave the U.S. without any major party actively pushing a pro-business agenda. That can't be good for profit margins. The fact that social fragmentation is on the rise casts doubt on much of the boilerplate, feel-good commentary written about the "sharing economy." For starters, the term is absurd. Uber drivers are not sharing their vehicles. They are using them to make money. Both passengers and drivers can see one another's ratings before they meet. This reduces the need for trust. As trust falls, crime rises. The U.S. homicide rate surged by 20% between 2014 and 2016 according to a recent FBI report.6 In Chicago, the murder rate jumped by 86%. In Baltimore, it spiked by 52%. Chart 16 shows that violent crime in Baltimore has remained elevated ever since riots gripped the city in April 2015. The number of homicides in New York, whose residents tend to support more liberal policing standards for cities other than their own, has remained flat, but that is unlikely to stay the case if crime is rising elsewhere. The multi-century decline in European homicide rates also appears to have ended (Table 2). Chart 16Do You Still Want To Move Downtown? Table 2Crime Rates Are Creeping Higher In Europe Chart 17Homicides And Inflation Much has been written about how millennials are flocking to cities to enjoy the benefits of urban life. But this trend emerged during a period when urban crime rates were falling. If that era has ended, urban real estate prices could suffer tremendously. It is perhaps not surprising that the increase in crime rates starting in the 1960s was mirrored in rising inflation (Chart 17). If governments cannot even maintain law and order, how can they be trusted to do what it takes to preserve the value of fiat money? The implication is that greater social instability in the future is likely to lead to lower bond prices and a higher equity risk premium. Peter Berezin, Chief Global Strategist Global Investment Strategy peterb@bcaresearch.com 2 Another problem with the neoclassical model is that it assumes perfectly flexible wages and prices. This ensures that the economy is always at full employment. Thus, if the saving rate rises, investment is assumed to increase to fully fill the void left by the decline in consumption. In the real world, the opposite tends to happen: When households reduce consumption, firms invest less, not more, in new capacity. One of the advantages of the traditional Keynesian framework is that it captures this reality. And interestingly, it also predicts that aging will be deflationary at first, but will eventually become inflationary. Initially, slower population growth reduces the need for firms to expand capacity, causing investment demand to fall. Aggregate savings also rise, as more people move into their peak saving years. Globally, savings must equal investment. If desired investment falls and desired savings rise, real rates will decrease. At the margin, lower real rates will encourage investment and discourage saving, thus ensuring that the global savings-investment identity is satisfied. As savings ultimately begins to decline as more people retire, the equilibrium real rate of interest will rise again. 3 Michael A. Clemens, "Economics and Emigration: Trillion-Dollar Bills on the Sidewalk?" Journal of Economic Perspectives Vol. 25, no.3, pp. 83-106 (Summer 2011). 4 Robert D. Putnam, "Bowling Alone: The Collapse And Revival Of American Community," Simon and Schuster, 2001. 5 Charles Murray has been a leading proponent of this argument. Please see "Coming Apart: The State Of White America, 1960-2010," Three Rivers Press, 2013. 6 Federal Bureau of Investigation, "Crime In The United States 2016" (Accessed October 25, 2017). Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades

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The complete annihilation of all human life represents the mother of all tail risks. We estimate that there is a 50% chance that doomsday will occur by 2290, and a 95% chance that it will occur by 2710. If the risk of doomsday is elevated, what is an investor to do?