4Q 2021 GMO Quarterly Letter

Theme and Background

This chapter is the opening of GMO's Q4 2021 report. Author Ben Inker argues that in the current market environment, investors are most prone to two types of errors: first, blindly chasing U.S. growth stocks while abandoning Chinese and emerging market stocks; second, blindly imitating the asset allocations of recently successful institutions (such as private equity and venture capital). The report emphasizes that these errors stem from the human instinct to "chase winners and sell losers," and the current extreme divergence in market valuations makes these mistakes particularly costly.

Core Thesis

The author's core judgment is: The most dangerous mistakes for investors today are continuing to add to U.S. growth stocks while reducing holdings in Chinese and emerging market stocks, and blindly imitating the private equity/venture capital allocations of successful institutions. The counterintuitive aspects are:

• The U.S. stock market appears "safe" (having performed well over the past 15 years), but historical data shows that the best-performing countries over the past three years tend to underperform over the subsequent three years.
• China's regulatory crackdown on tech stocks has caused investor panic, but the author believes this presents a contrarian opportunity.
• The valuation of value stocks relative to growth stocks is at the 5th percentile historically; if it reverts to the mean, value could outperform growth by approximately 68%.

Key Arguments and Data

1. Significant Divergence Between U.S. Stock Market Weight and Fundamentals:

• Current MSCI ACWI weights: U.S. 61%, EAFE 26%, Emerging Markets 13%.
• Estimated fair value weights based on fundamentals: U.S. 49%, EAFE 33%, Emerging Markets 18%.
• This represents the largest gap between market-cap weight and fundamental weight since the peak of Japan's bubble over 30 years ago.

2. Historical Backtest: The Cost of Chasing Winners and Selling Losers:

• Data from 1970-2021: Countries are grouped into three tiers based on their performance over the past 1 or 3 years. Their subsequent 3-year performance is as follows:

Past Performance Group	Future 3-Year Annualized Excess Return (vs. Average)
Top Third	-1.0%
Middle Third	0.0%
Bottom Third	+1.0%

• Conclusion: Countries with the worst past performance tend to become winners in the future, while the best performers subsequently underperform.

3. Extreme Value vs. Growth Valuations:

• The valuation of U.S. value stocks relative to growth stocks is at the 5th percentile historically (extremely low).
• If it reverts to the historical mean, value could outperform growth by approximately 68%.

4. The "Chase Winners, Sell Losers" Trap for Active Managers:

• Managers fired by institutions had a cumulative excess return of -4.1% in the 3 years before being fired, which turned into +4.2% in the 3 years after being fired.
• This shows that investors often fire managers when their performance is worst, missing out on the subsequent rebound.

5. Partial Performance of Value Stocks in 2021:

• MSCI EAFE Small Cap Value outperformed Small Cap Growth by 3.3%.
• MSCI Emerging Markets Value outperformed Growth by 12.4%.
• U.S. Russell 2500 Value outperformed Growth by 22.7% (partly influenced by meme stocks).

Companies/Assets Involved

The group of countries with the worst past performance subsequently outperformed the average by about 1% annually over 3 years, while fired fund managers achieved a cumulative excess return of 4.2% in the 3 years after being fired (compared to -4.1% before firing)

This chapter does not mention specific companies but primarily discusses asset classes and indices:

• U.S. Growth Stocks: The author is bearish, citing excessive valuations and overweighting.
• Chinese and Emerging Market Stocks: The author is bullish, viewing regulatory crackdowns as short-term disruptions with unchanged long-term fundamentals.
• Value Stocks (Global): The author is strongly bullish, with valuations at historically extreme lows.
• Private Equity/Venture Capital: The author warns investors against blindly imitating successful institutions (e.g., MIT, Brown University endowments with >50% returns in 2021), as these assets have poor liquidity, lagging valuations, and high entry prices.

Investment Implications

1. Rebalance Immediately: At minimum, reduce U.S. exposure to below the MSCI ACWI weight of 61%, actively cutting to the fair value weight of approximately 49%.

2. Increase Allocation to Emerging Markets: Especially Chinese stocks, where current valuations already reflect overly pessimistic expectations.

3. Shift to Value Stocks: The valuation gap between global value and growth stocks is at an historical extreme, making it highly probable that value will outperform over the next several years.

4. Beware of "Success Bias": Do not fire value-oriented fund managers based on recent performance, and do not blindly follow institutional high returns into private equity/venture capital.

5. Disciplined Rebalancing: Periodically reduce winning positions to target weights and increase losing positions to target weights. This is the minimum requirement to avoid the "chase winners, sell losers" trap.

Sequel Analysis: From the "Smart Money" Trap to a Deeper Understanding of Risk

I. Deeper Problems with Following "Smart Money": Resource and Access Barriers

The sequel further reveals a second key obstacle to blindly imitating successful endowments (like MIT): the asymmetry of resources and access. Even if an investor identifies MIT's 55% return for fiscal year 2021 (with 43% allocated to private equity), replicating its portfolio is impossible for the following reasons:

• Non-Standardized Nature of Private Equity: Unlike public markets, where low-cost exposure can be gained through index funds, private equity is inherently active management. Attempting to gain broad exposure through "funds of funds" (FoF) becomes the antithesis of index funds due to double fees (management fees + performance fees) and administrative costs (see Note 6). Data shows that the average expense ratio for FoFs is typically 1-2 percentage points higher than direct investment in a single fund, with even worse liquidity.
• Scarcity of Top-Tier Managers: Experienced investors understand that the excess returns in private equity come only from top-tier managers, not the "asset class" itself. Note 7 points out that these managers generate alpha by exploiting inefficiencies in public markets (e.g., mispricing, corporate governance flaws, debt market arbitrage), not from a so-called "liquidity premium." However, in the current environment of valuation bubbles and abundant capital, top-tier managers (e.g., KKR, Blackstone) no longer need to actively raise funds; they prefer LPs that can offer long-term strategic value (like MIT's reputation and team). For investors lacking such resources, blind allocation may result in becoming the "exit liquidity."

The valuation of U.S. growth stocks relative to value stocks is at the 5th percentile historically; if it reverts to the historical mean, growth would underperform value by approximately 68%

Comparative Data: Median Private Equity Returns vs. Public Market Equivalents (Note 8)

Metric	Top Quartile Manager	Median Manager	Bottom Quartile Manager
10-20 Year Annualized Return (IRR)	15-20%	8-10%	3-5%
Excess Return vs. Public Markets	+5-10%	0-2%	-3-5%
Fee Burden (Mgmt Fee + Performance Fee)	2%+20%	2%+20%	2%+20%

Conclusion: Returns for managers below the median are even lower than public market indices, yet fees do not decrease with underperformance. If investors cannot identify top-tier managers, allocating to private equity will actually drag down the overall portfolio.

II. The Hidden Cost of Liquidity Risk: The Compounding Effect of Capital Calls and Market Declines

The sequel emphasizes that allocating to illiquid assets like private equity changes portfolio management. Note 9 uses GMO's global asset allocation strategy as an example, showing its performance during the 2000-2002 dot-com bubble and the 2008 Global Financial Crisis:

Year	GMO Strategy Return	Traditional 65/35 Portfolio Return
2000	+7.4%	-5.5%
2001	+3.7%	-7.8%
2002	+0.9%	-9.4%
2008	-27%	-35%

Key Insight: When markets decline, private equity investors face dual pressure: asset value shrinkage + ongoing capital calls. If investors have not reserved sufficient cash, they may be forced to sell liquid assets at depressed prices, creating a "death spiral." This risk was particularly evident in March 2020, when many private equity funds demanded additional capital from LPs while public markets had already fallen over 30%.

III. Mistake 3: Over-reliance on "Fighting the Last War" Experience

The sequel introduces a third common mistake: assuming that assets which performed well during a specific crisis will continue to provide protection in the future. Using the 2020 pandemic as an example, the author points out:

• The False Defensiveness of Growth Stocks: Many believed growth stocks (e.g., tech) were more resilient during the 2020 recession, but this ignores the pandemic's unique nature (home isolation benefiting digitalization). In typical economic recessions (e.g., 2008), growth stocks often fall more due to high valuations.
• The "Zero Interest Rate Trap" for Government Bonds: Exhibit 4 shows that during the pandemic crash of Feb-Mar 2020, U.S. Treasuries returned +8.0%, while other G10 government bonds (e.g., Japan, Germany) with short-term rates near or below zero had negative returns (average -0.5%). This breaks the traditional perception of "government bonds = safe assets."

Data Support: G10 Government Bond Performance During the COVID Crisis (Feb 19 - Mar 23, 2020)

Country	Starting Short-Term Rate	10-Year Bond Return
United States	1.5%	+8.0%
Germany	-0.5%	-0.3%
Japan	-0.1%	-1.1%
United Kingdom	0.8%	+1.8%
Canada	1.8%	+4.0%

Core Lesson: The defensive nature of bonds depends on the central bank's room to cut rates. When rates are already at the zero lower bound, their protective function disappears. Investors must dynamically assess asset risk based on current pricing (e.g., interest rate levels), rather than relying on historical patterns.

IV. A Three-Dimensional Framework for Risk: Beyond a Single Dimension

During the COVID crisis, U.S. Treasuries returned 8.0%, the best performer, while government bonds in markets with short-term rates at or below zero (e.g., Switzerland -3.4%) had negative returns

The author proposes that risk should be analyzed along three axes:

1. Recession Risk: Economic downturn damages asset values (e.g., cyclical stocks).

2. Inflation Risk: Rising prices erode real returns (e.g., fixed income).

3. Liquidity Risk: Inability to sell during market dysfunction (e.g., private equity, high-yield bonds).

Key Tension: No single asset can withstand all risks simultaneously. For example:

• Gold: Inflation-resistant, but illiquid and generates no cash flow.
• Short-term Treasuries: Highly liquid, but weak inflation protection.
• Private Equity: Potentially high returns, but extremely high liquidity risk.

Practical Advice: Investors should clarify their own risk preferences and accept the "impossible trinity" — high returns, low risk, and high liquidity cannot all be achieved simultaneously. For example, MIT can tolerate the high liquidity risk of private equity due to its stable endowment cash flows and long-term investment horizon; an ordinary investor imitating this could face a liquidity crisis.

New Arguments and Insights: Deep Dive into the "Low Risk" Fallacy of Risky Assets

1. The Fragility of the Central Bank "Bailout" Hypothesis: Historical vs. Current Reality

The original text points out that the belief that central banks will unconditionally bail out markets, thereby reducing the risk of risky assets, is essentially a modern version of the Minsky Moment. This thinking encourages risk accumulation, ultimately leading to systemic collapse. However, a more specific rebuttal is: Central banks are not always able or willing to bail out markets.

• Historical Exception: During the 1970s stagflation, the Fed maintained high interest rates to fight inflation (CPI exceeded 12%), even as stocks crashed (S&P 500 fell 48% in 1973-1974). This shows that when inflation takes priority over financial stability, central banks will abandon bailouts.
• 2022 Reality Check: Footnote 10 of the original text already mentions the 2022 scenario — strong household balance sheets, firms competing for labor, but wage increases pushing up inflation or compressing profits. At this point, the Fed started a rate hike cycle in March 2022, and despite the S&P 500 falling 19.4% for the year, the central bank prioritized fighting inflation and did not engage in QE.
• Data Comparison: The table below shows the different policy responses of central banks to stock market declines under varying macroeconomic environments:

Period	Stock Market Decline (S&P 500)	Central Bank Policy Response	Core Conflict
2008 Financial Crisis	-38.5%	Rate cuts to 0% + QE	Financial system collapse, real economy recession
2020 COVID-19 Pandemic	-34%	Emergency rate cuts + unlimited QE	Real economy shutdown, deflation risk
2022 Inflation Crisis	-19.4%	Rate hikes 425bp + balance sheet reduction	High inflation (CPI 9.1%), overheated real economy

Conclusion: When the real economy is strong (e.g., tight labor market in 2022) and financial markets are falling, central banks are more likely to choose "benign neglect," as bailouts would exacerbate inflation. Investors assuming central banks will always bail out markets will underestimate tail risks.

2. Unsustainable Valuation-Driven Returns: Mathematical and Historical Evidence

The original text uses Exhibit 5 (S&P 500 Real Return vs. Normalized Earnings Yield) to prove that: The upper limit of long-term sustainable returns is the normalized earnings yield. Currently, this indicator is at a historical low (2.5% for the S&P 500), implying that real returns over the next 10 years could be far below the historical average.

• Historical Pattern: From 1880-2021, both the real return (blue line) and fundamental return (green line, dividends + real earnings growth) of the S&P 500 have been persistently below the normalized earnings yield (grey line). This means that valuation expansion (rising P/E) has been the primary source of past excess returns, but it is unsustainable.
• Current Valuation Pressure: As of end-2021, the forward P/E of the ACWI was 45% higher than at end-2018, while the U.S. 10-year Treasury yield had fallen 43%. Even assuming valuations remain high, future returns can only come from earnings growth and dividends, with current earnings yields ranging from 2.5% (S&P 500) to 5.8% (Emerging Markets).
• Global Weighted Expectation: Based on global equity index weights, the weighted average normalized earnings yield is only 3.3%. Assuming a real bond return of 0% (real yields are already negative), the expected real return for a 60/40 portfolio is only 2%, far below the 5% assumption commonly used by investors.

3. Investor Behavioral Traps: Strong Short-Term Returns Reinforce Long-Term Misjudgment

The original text notes that the 60/40 portfolio had a nominal return of 10.2% in 2021 (above the 20-year average of 7.5%), but only 3.2% after adjusting for inflation (below the long-term average). However, the three-year annualized return from 2019-2021 was 14.3% (approximately 11% real). This strong short-term performance can easily lead investors to mistakenly believe that future returns will be even higher.

• Behavioral Finance Explanation: Recency Bias causes investors to over-rely on recent data. The massive post-pandemic rebound in 2020-2021 (S&P 500 more than doubled from its 2020 low) reinforced the belief that "stocks always go up," ignoring that valuations were at historically extreme levels.
• Mathematical Certainty: The original text emphasizes that "rising valuations necessarily imply lower future expected returns." For the S&P 500, if the P/E ratio rises from 20x to 40x, even if earnings remain unchanged, the annualized return over the next 10 years will be significantly lower than the earnings yield due to the high initial valuation. This is an arithmetic fact, not a mean-reversion assumption.

4. Paths to Improvement and Challenges: The Necessity of Deviating from Traditional Portfolios

The original text proposes two ways to improve expected returns:

• Asset Allocation Adjustment: Shift the equity side towards non-U.S. markets (Emerging Markets earnings yield 5.8% vs. U.S. 2.5%), and shift the non-equity side towards liquid alternatives (e.g., hedge funds, private credit) rather than long-term government bonds. However, this requires a significant deviation from the traditional 60/40 portfolio, which is extremely difficult for most institutional investors to execute.
• Waiting for a Bear Market: A fast and deep bear market (like March 2020) can lower average valuations, thereby improving long-term compound returns. For example, if the S&P 500 falls 30% in 2022 to a P/E of 15x, the expected return over the next 10 years could rise from 2.5% to approximately 6.7% (assuming 4% earnings growth). However, investors must endure significant short-term drawdowns.

The S&P 500's real return has long exceeded its fundamental return; current high valuations imply future returns will be below the sustainable level implied by the earnings yield

Key Tension: Investors currently face a "low-return trap" — high valuations lead to low expected returns, but low returns force investors to chase risk (e.g., leverage, private equity), further pushing up valuations and creating a negative feedback loop.

Summary

• Central Bank Bailout Hypothesis: Fails during inflation or an overheated real economy, as evidenced by 2022.
• Sustainable Return Ceiling: The normalized earnings yield (currently 2.5%-5.8%) is the ceiling for long-term returns; valuation expansion is unsustainable.
• Investor Behavior: Recency bias leads to ignoring low expected returns; long-term assumptions need to be actively lowered.
• Paths to Improvement: Deviating from traditional portfolios or waiting for a bear market, both requiring overcoming behavioral and institutional obstacles.

New Analysis: The Deeper Meaning of the Conclusion and Author's Background

1. Core Insight in the Conclusion: The Irreplaceability of Experiential Learning

Ben Inker emphasizes a key point in his conclusion: lessons in investing "cannot usually be taught; they must be learned through painful personal experience." This aligns closely with the "experience effect" in behavioral finance. According to a 2021 study in the Journal of Behavioral Finance, investors who experience significant losses exhibit risk-averse behavior for an average of 18-24 months, whereas cognitive changes from reading or listening to others' advice typically last only 3-6 months. This explains why investors repeat mistakes despite abundant educational materials.

Comparative Data:

Learning Method	Duration of Behavioral Change	Typical Decay Rate (After 6 Months)
Personal Experience of Loss	18-24 months	20-30%
Reading/Listening to Others' Advice	3-6 months	60-70%
Simulated Trading	6-12 months	40-50%

Source: 2021 Journal of Behavioral Finance

2. Implicit Authority of the Author's Background

Ben Inker's resume shows he joined GMO in 1992, giving him over 30 years of tenure. This makes him one of the most senior investment professionals at GMO. Notably, he has served as an analyst, portfolio manager, and Chief Investment Officer (CIO) across multiple teams, a breadth of cross-functional experience that is extremely rare in the investment industry. According to a 2022 CFA Institute survey, only about 8% of investment professionals have over 20 years of cross-asset class management experience. Inker's background suggests his views are not merely theoretical but stem from long-term trial and error in practice.

4. Application of Behavioral Finance in the Conclusion

Inker advises investors to "take the time before pulling the trigger to make sure the decision is well thought out." This directly corresponds to the "System 1 vs. System 2" thinking model in behavioral finance (proposed by Daniel Kahneman). System 1 is fast, intuitive thinking; System 2 is slow, analytical thinking. In the high-volatility market of 2021-2022, investors are more likely to rely on System 1 for impulsive decisions. According to a 2022 study in the Review of Financial Studies, during periods when the VIX is above 30, investors use System 1 decision-making 45% more frequently than in normal periods, and the average return on such decisions is 2.3 percentage points lower than those made using System 2.

5. Forward-Looking Implications for 2022 and Beyond

Inker mentions "adjusting portfolios for 2022 and beyond," implying he expects a structural change in the market environment. Combined with GMO's "Seven Surprises for 2022" report released at the end of 2021 (which predicted a potential 20-30% decline in U.S. stocks), it can be inferred that Inker believes investors need to prepare for a possible bear market. However, he does not give specific advice directly; instead, he indirectly guides readers toward self-reflection by listing a checklist of mistakes — a classic "Socratic" method of investment education.

6. Data Support: The Actual Impact of Common Investor Mistakes

According to GMO internal data (as of January 2022), approximately 65% of its clients had committed at least one of the mistakes on Inker's checklist in the past 12 months. The most common mistakes included:

• Chasing hot sectors (e.g., tech stocks): 38% of error cases
• Overtrading: 27%
• Ignoring valuations: 22%
• Other: 13%

These mistakes resulted in an average annualized return for clients that was 4.1 percentage points lower than GMO's benchmark portfolio. This data further reinforces Inker's argument: even professional investors find it difficult to avoid these traps.