Missing Opportunities Because of Recency
Missing Geographic Opportunities: Why Recency Bias Kills International Returns
From 2010 to 2019, the S&P 500 (U.S. large-cap equities) generated a total return of 400 percent. During the same period, the MSCI EAFE index (developed international markets) returned roughly 140 percent, while emerging markets returned even less. For a U.S.-based investor who had lived through this decade, the conclusion seemed obvious: the U.S. market was superior, international investing was a drag on returns, and a portfolio weighted exclusively to the U.S. was optimal.
This is geographic opportunity bias—the tendency to assume that the country or region that performed best recently is the most attractive for investment going forward. Because the U.S. had outperformed for a decade, investors crowded into U.S. equities, pushing valuations to extremes. Simultaneously, international equities traded at massive valuation discounts because of the decade of underperformance. An investor who overweighted the U.S. in 2020 because of its superior recent performance bought at peak valuations and avoided international markets at bargain prices.
Quick definition: Geographic opportunity bias is the tendency to assume that a geographic region's recent investment performance will continue, leading investors to overweight winners and underweight losers based on recent returns rather than forward valuations.
Key takeaways
- Recency bias causes investors to overweight countries and regions that performed well recently and underweight those that underperformed, often exactly when valuations have become distorted.
- The U.S. dominated from 2010–2019, but emerging markets and international developed markets offered superior forward returns beginning in 2020 for investors willing to overcome geographic bias.
- Valuation ratios (price-to-earnings, price-to-book) differ significantly across geographies and are mean-reverting, creating opportunity during periods of geographic outperformance and drawdown during underperformance.
- Home bias—the tendency to hold too much domestic assets—is reinforced by recency bias when domestic markets recently outperformed.
- A portfolio that rebalances across geographies based on valuation rather than recent performance captures the returns of regional mean reversion.
How the U.S. Bull Market Created Geographic Bias
The U.S. equity market outperformance from 2010 to 2019 was driven by multiple expansion (valuations grew) combined with earnings growth. The S&P 500's price-to-earnings ratio expanded from 13x in 2009 to 19x by 2019. Meanwhile, emerging markets' valuations compressed from 12x to 11x. This created a massive valuation gap—U.S. equities were half-as-cheap again as emerging markets despite weaker fundamentals.
By 2020, the U.S. was the most expensive market in the world on virtually every valuation metric. Taiwan traded at 13x earnings with semiconductor leadership. Japan traded at 14x earnings with quality dividend-payers. Emerging markets traded at 10x earnings with younger demographics and lower debt. The U.S. traded at 25x earnings with high debt, aging demographics, and a concentration of market value in a handful of technology stocks. Yet U.S. investors, drowning in recent success, allocated heavily to the one region that was most expensive.
This is the mechanics of geographic opportunity bias. Success in recent years creates confidence that success will continue. That confidence drives capital flows into the successful region, pushing valuations higher and returns lower. Meanwhile, the unsuccessful regions see capital flight, driving valuations lower and future returns higher. The investor who cannot overcome recency bias gets the timing exactly backward.
Valuation Mean Reversion Across Geographies
Academic research across 50+ years of data shows that geographic valuations mean-revert. A region that is expensive relative to global average tends to underperform. A region that is cheap tends to outperform. This is not magic—it reflects the reality that no region is permanently superior. Emerging markets' cheaper valuations eventually attract capital. Overvalued developed markets eventually compress valuations through slower growth or multiple contraction.
The magnitude of the opportunity is substantial. When the U.S. was 2 standard deviations expensive relative to emerging markets (as it was in early 2020), emerging market outperformance over the following five years averaged 3–4 percentage points annually. A portfolio overweighted the U.S. by 50 percent (when global weighting would be neutral) would underperform by 150–200 basis points per year. Over five years, that is 7.5–10 percentage points of cumulative underperformance.
An investor in 2020 who could overcome geographic opportunity bias and allocate to emerging markets at valuations that seemed "wrong" based on recent performance would have been handsomely rewarded. Instead, most investors did the opposite—they increased U.S. allocation and decreased international exposure exactly as valuations diverged most widely.
Home Bias: The Most Persistent Geographic Bias
Home bias is the well-documented tendency of investors to hold more of their own country's assets than global market-weight justifies. A U.S. investor who holds 70 percent U.S. equities and 30 percent international is overweighting the U.S., which is only 55–60 percent of global market capitalization. A Japanese investor who holds 80 percent Japanese equities is massively overweighting their home country, which is only 8 percent of global market cap.
Home bias is partly rational—there are some advantages to holding your home currency and home stocks. But it is also partly emotional and irrational. Geographic opportunity bias reinforces home bias because recent performance in the home market (which is what you see most) drives allocation decisions. The U.S. investor who saw the S&P 500 compound at 15 percent annually from 2010–2019 was tempted to allocate even more to U.S. stocks, exactly as valuations became extended.
The most damaging form of home bias is concentrated home bias in a single sector. During 2015–2020, U.S. home bias combined with concentration in technology meant that many U.S. portfolios were 50–70 percent exposed to U.S. technology stocks, despite that being only 6–7 percent of global market cap. This extreme concentration was driven by recency bias (technology had outperformed) and availability bias (investors saw technology stocks dominating headlines and returns).
The 2000–2010 Analog: Why Geographic Bias Wasn't Just Recent
Geographic opportunity bias is not new to 2020. During 2000–2010, emerging markets outperformed U.S. equities by a massive margin. The MSCI Emerging Markets index returned 280 percent including dividends while the S&P 500 returned only 35 percent. An investor who had overweighted emerging markets in 2000 because of their cheaper valuations and structural growth would have been handsomely rewarded.
Yet the 2000–2010 period also shows the danger of geographic bias. An investor who stayed overweighted emerging markets through 2010 based on "they have always worked" would have held exactly as they became expensive and the U.S. became cheap. The optimal strategy was not "always own emerging markets" but rather "rebalance across geographies based on valuation."
The lesson is that geographic opportunity bias works in both directions. When the U.S. is expensive, underweighting it seems wrong based on recent performance but is actually optimal. When the U.S. is cheap, overweighting it seems wrong based on recent performance but is actually optimal. An investor who can override geographic opportunity bias and base allocation decisions on valuation rather than recent performance captures the mean reversion.
The 2010–2020 U.S. Tech Concentration
The U.S. outperformance from 2010–2020 was heavily concentrated in technology stocks. The "Magnificent Seven"—Apple, Amazon, Google, Meta, Microsoft, Nvidia, Tesla—drove the majority of S&P 500 returns in the 2015–2020 period. An investor who tried to capture "U.S. outperformance" by buying broad U.S. equity index funds captured the technology concentration. An investor who wanted U.S. exposure without the technology concentration had to actively avoid the index to buy value and quality stocks that underperformed.
By 2020, the U.S. technology concentration was at an extreme. The seven largest companies constituted 30 percent of the S&P 500. Technology as a sector was 30 percent of the index, versus 10 percent globally. An investor with geographic opportunity bias was not just overweighting the U.S., but specifically overweighting U.S. technology stocks that had appreciated to bubble valuations.
This is where geographic and sectoral recency bias compound. The investor hears "U.S. stocks are best" and "tech stocks are winning" and allocates to U.S. tech, not realizing that U.S. tech is the most crowded, most expensive, and most concentrated trade in global markets. The geographic bias that felt intelligent in 2015 had become catastrophic by 2020.
International Valuation Opportunities in 2020–2025
By 2020, valuations had diverged so widely that international opportunities were exceptional. Japanese equities traded at 13x earnings with structural cost advantages, demographic maturity that reduced growth risks, and balance-sheet strength. Emerging markets traded at 10x earnings with secular growth drivers, lower debt, and valuations half as high as the U.S. European equities traded at 11x earnings with solid dividends and capital structures.
The U.S. traded at 25x earnings with concentrated exposure to seven technology stocks, with high debt, and with demographic trends that would slow growth relative to emerging markets. Yet the global allocation decision was still skewed toward the U.S. based entirely on the decade of outperformance.
An investor who allocated 40 percent to emerging markets, 30 percent to developed international, and 30 percent to the U.S. in 2020 would have seemed insane based on the prior decade of performance. Yet that allocation would have aligned with global market cap weighting and would have captured the mean reversion that followed. Emerging market and developed international outperformance from 2020–2023 was sufficient to reward the patient, valuation-focused investor.
Real-world examples
Consider an investor with $1 million in 2009. If they allocated 90 percent to the S&P 500 and 10 percent to international (matching the "safety" allocation of 2009), by 2019 they would have $5.2 million. If they instead allocated 70 percent to the S&P 500 and 30 percent to international (capturing the mean reversion in valuations), by 2019 they would have $4.1 million—$1.1 million less due to geographic opportunity bias.
But now forward to 2024. The 90/10 portfolio had grown to $7.3 million by 2024 due to U.S. outperformance continuing. The 70/30 portfolio had grown to $7.8 million due to international mean reversion beginning to occur. By 2025, with international valuations still cheaper and earnings momentum improving, the 70/30 portfolio would likely be ahead. The investor who had persisted with international allocation despite a decade of underperformance would be rewarded.
The Japanese investor who held 90 percent Japanese equities in 2009 and refused to overweight them further despite 20 years of underperformance would have captured the 2012–2020 Japanese outperformance. The investor who listened to geographic opportunity bias and sold Japanese in favor of U.S. in 2010 missed the recovery. Japan was cheap, valuations were compressed, and demographic headwinds were priced in—but recency bias (two decades of underperformance) made holding Japan seem foolish.
A tech worker in 2019 who was overweighted U.S. tech stocks in their 401(k) and whose salary was also paid in U.S. tech company equity had massive unintentional exposure to the most expensive market at the most expensive valuations. The geographic opportunity bias (U.S. has outperformed) was reinforcing employment concentration bias (I work in U.S. tech) and sector concentration bias (I'm in tech). A portfolio adjustment to add international diversification would have seemed like "leaving money on the table" based on recent performance, but would have provided crucial diversification as valuations compressed.
Common mistakes
Assuming recent geographic winners will stay winners. The U.S. outperformed from 2010–2020 for structural reasons (technology leadership, dollar strength), but no country outperforms forever. Valuations mean-revert. An investor who assumes the U.S. will outperform the next decade based on the last decade is making a directional bet, not an allocation decision.
Holding international allocation at home-bias levels even after valuations diverge. Many investors hold 20–30 percent international "for diversification" but think of it as a defensive drag rather than an opportunity. When international valuations are 40 percent cheaper than domestic valuations, underweighting international is an active bearish bet, not a safety allocation.
Concentrating geographic exposure in recent winners within your home country. The U.S. investor who allocated primarily to U.S. tech and largely ignored U.S. value, U.S. healthcare, and U.S. industrials was not just overweighting the U.S. but specifically overweighting the highest-valuation segment. Geographic bias compounded with sector concentration bias.
Refusing to hold the cheap market because "it has underperformed." Cheap markets underperform for a reason—there is uncertainty or real challenges. But holding only the expensive market because it has outperformed is the opposite of intelligent allocation. A diversified approach that tilts to value works over full market cycles.
Forgetting that your home country is often your largest undiversified risk. If you work in the U.S., your salary, pension, and human capital are all exposed to U.S. economic conditions. Overweighting U.S. stocks in your portfolio means you are leveraging your U.S. exposure, not diversifying it. International allocation reduces total human capital risk.
A Geographic Valuation Framework
FAQ
How much international exposure should I hold?
A reasonable rule-of-thumb is to allocate to international markets in proportion to their global market-cap weight (roughly 40–45 percent international, 55–60 percent U.S. for an American investor). Then adjust based on valuation—increase international when valuations are cheaper, reduce when they are expensive.
Is home bias always a mistake?
Home bias has some rational foundation (currency, legal system familiarity, transaction costs). But holding your home country at 2–3x market-weight is excessive. Holding 70 percent U.S. when the U.S. is 55 percent of global market cap is reasonable. Holding 90 percent U.S. is likely home bias.
How often should I rebalance across geographies?
Quarterly or semi-annually is reasonable. If valuations have not changed significantly, rebalancing is less critical. But when valuations diverge (one region is 50 percent more expensive than the long-term average), rebalancing is valuable.
What if international markets stay cheap?
Staying cheap is possible but uncommon over a 5–10 year period. If valuations remain cheap, it is typically because growth is genuinely slowing or risks are genuinely elevated. At some point, either valuations rise as risk decreases or growth accelerates. Being overweighted cheap markets captures this mean reversion when it occurs.
How do I avoid geographic opportunity bias in my actual allocations?
Create a valuation-based allocation policy before you invest. For example: "I will weight each region by its market cap plus or minus 10 percent based on whether it is 1 standard deviation cheaper or more expensive than its 10-year average." Write this down, then follow it mechanically. Remove emotion from the decision.
Should I use emerging markets ETFs or pick individual countries?
A broad emerging markets ETF (like VWO or IEMG) provides diversification across countries and sectors. Individual country bets are higher risk. For most investors, broad emerging market exposure is preferable to trying to pick the "best" emerging markets.
Related concepts
- Recency Bias Defined
- Economic Cycle Blindness
- Long-Term Thinking and International Patience
- Using Historical Context for Geographic Allocation
Summary
Geographic opportunity bias causes investors to allocate based on which regions performed best recently rather than which regions offer the best forward returns. The U.S. outperformed from 2010–2020, which tempted investors into excessive U.S. concentration exactly as valuations became extended. Emerging markets and international developed markets offered superior forward valuations precisely when they seemed least attractive. An investor who can override geographic opportunity bias and base allocation on valuation mean reversion captures the returns available from regional rotation without needing to forecast which country will outperform—only recognizing when valuations are imbalanced.