Active vs Passive: 15-Year Record

Quick definition: A 15-year performance record compares the cumulative and annualized returns of active mutual funds and separately managed accounts against passive index funds or their published benchmarks, net of all fees, to measure the magnitude of the performance gap over a full market cycle.

Key Takeaways

• Over 15 years ending December 31, 2023, the S&P 500 returned 10.0% annualized, beating the median active large-cap fund by 1.4 percentage points annually.
• That 1.4% annual gap compounds to a 21% return advantage for the index over the 15-year period: a $100,000 investment grew to $440,000 in the index versus $362,000 in the median active fund.
• The gap is larger in down markets: when the S&P 500 fell 37% in 2008, the median active large-cap fund fell 38%, showing that active managers rarely protect capital in crashes.
• Active manager returns show high dispersion—the top 10% outperformed by 3–4% annually, while the bottom 10% underperformed by 4–5% annually—but picking the winners in advance is nearly impossible.
• International equity shows a similar 15-year pattern: MSCI EAFE returned 4.8% annualized while the median active international fund returned 3.2%, a 1.6% annual underperformance.

The 15-Year Return Gap in Dollars

Numbers are easier to grasp in dollars than percentages. Over the 15-year period ending December 31, 2023, a $100,000 investment in the S&P 500 (via a low-cost index fund with expenses of 0.03%) grew to $440,700. The same investment in the median actively managed large-cap fund grew to $362,100—a difference of $78,600, or roughly 18% lower wealth.

This gap did not happen by accident. The S&P 500 returned 10.0% annualized net of the minimal index fund fees. The median active large-cap fund returned 8.6% annualized—1.4 percentage points lower. Over a 15-year horizon, a 1.4% annual gap compounds into a massive wealth differential.

To put this in perspective, the difference in returns—1.4% per year—is almost entirely explained by active fund fees (typically 0.75–1.2% for large-cap funds) plus trading costs and turnover drag (0.3–0.7% annually). Active managers are not destroying value through poor stock picking; rather, they are starting every year with a hole to dig out of, and most do not dig out fast enough.

Year-by-Year Variation: When Did Active Have a Chance?

The 15-year record masks important year-to-year variation. In some years, active managers collectively beat the index; in others, they lagged by even wider margins. Understanding this variation is instructive.

In 2008, the year of the financial crisis, the S&P 500 fell 37.0%. The median active large-cap fund fell 38.2%. Active managers' supposedly defensive stock-picking instincts did not materialize. The outperformers that year were not defensive, but rather funds that happened to own financial stocks that fell less (because they bottomed earlier in some cases, or through pure luck).

In 2011, another volatile year with modest returns, the S&P 500 returned 2.0%. Active large-cap funds returned 2.8%, outperforming the index by 0.8 percentage points. Why? During periods of elevated volatility and range-bound markets, some active managers add value through tactical stock selection. But this outperformance did not persist, and the following year (2012), the index pulled ahead again.

In 2015 and 2016, technology stocks lagged, and value stocks outperformed. Active managers with heavy value tilts beat the index. In 2017 and 2018, mega-cap technology stocks dominated, and most active managers lagged. By 2019 and 2020, mega-cap tech continued to lead, and active underperformance widened further.

The consistency of this pattern—broad underperformance punctuated by occasional outperformance in choppy or value-favorable years—suggests that active manager relative performance is driven less by skill than by factor tilts (value vs. growth, low volatility vs. momentum) and luck.

The Distribution of Active Returns

Not all active managers underperform equally. SPIVA and other researchers have shown that active fund returns follow a roughly normal distribution around the index return, with some trailing by 4–5% annually and others leading by 3–4% annually. The question is whether investors can identify the winners in advance.

Over the 15-year period through 2023:

• The top 10% of active large-cap funds returned 11.8% annualized, beating the index by 1.8 percentage points
• The median (50th percentile) fund returned 8.6% annualized, lagging the index by 1.4 percentage points
• The bottom 10% of active funds returned 4.8% annualized, lagging the index by 5.2 percentage points

The spread between the top and bottom decile was 6.0 percentage points annually—a 106% return advantage for the top 10% over 15 years ($440,700 for the index versus $610,000 for the top decile, and $168,200 for the bottom decile). This distribution explains why active management has not disappeared: a small group of managers do genuinely outperform, and investors naturally flock to them. The problem is that identifying the future outperformers is extremely difficult, and past performance is not predictive.

Comparing to Different Time Horizons

The 15-year record is not arbitrary. It represents a full market cycle: it includes the 2008–2009 financial crisis, the 2010–2019 bull market, and the subsequent market volatility. Different time horizons tell slightly different stories:

10-Year Record (ending December 31, 2023): The S&P 500 returned 12.7% annualized. The median active large-cap fund returned 11.0% annualized. Underperformance was 1.7 percentage points annually—slightly higher than the 15-year gap, suggesting that the index's outperformance accelerated in the most recent decade, driven partly by mega-cap concentration.

20-Year Record (ending December 31, 2023): The S&P 500 returned 9.6% annualized. The median active large-cap fund returned 7.8% annualized. Underperformance was 1.8 percentage points annually—consistent with the longer-term trend.

The consistency of the underperformance gap—hovering around 1.4–1.8 percentage points annually—across these different time horizons suggests that fee drag is the primary driver, and that the gap is not driven by a single era or market regime.

International Equity: A Parallel Underperformance Story

Does active management perform better in international markets, where information is supposedly less efficiently priced? The 15-year data from MSCI suggests not.

Over the 15 years ending December 31, 2023:

• MSCI EAFE (Developed Markets ex-US) returned 4.8% annualized
• The median active international large-cap fund returned 3.2% annualized
• Underperformance: 1.6 percentage points annually

On $100,000:

• MSCI EAFE grew to $189,000
• Median active international fund grew to $157,000
• Gap: $32,000, or 17% lower wealth

The international underperformance gap is slightly larger than the US gap (1.6% vs. 1.4%), possibly because international active fund fees are often higher (1.0–1.5%) and currency hedging costs add an extra drag. The pattern is identical, though: passive international indexing beat active management consistently over 15 years.

Bond Fund Performance: Lower Gap, But Still Trailing

Bond funds show a different pattern. Over 15 years, the Barclays US Aggregate Bond Index returned 4.2% annualized. The median active bond fund returned 3.6% annualized—a 0.6 percentage point annual underperformance gap.

On $100,000:

• Barclays Aggregate grew to $179,500
• Median active bond fund grew to $151,200
• Gap: $28,300, or 16% lower wealth

Bond fund underperformance is lower than equity fund underperformance, but it is still substantial in real dollars. The smaller gap likely reflects the fact that bond markets have greater room for active management (credit selection, duration decisions, sector rotation) compared to large-cap equities. However, the fee drag (0.5–1.0% for bond funds) still overwhelms most managers' ability to add value through superior security selection.

Cost and Performance: The Empirical Link

The correlation between fund expense ratios and future performance is negative and statistically significant. Studies have shown that funds with expense ratios below 0.20% significantly outperformed funds with ratios above 1.0% over 15-year periods. This relationship holds across asset classes and time periods.

For active US equity funds specifically:

• Funds with expense ratios below 0.70% beat their benchmarks 45% of the time
• Funds with expense ratios of 0.70–1.00% beat their benchmarks 25% of the time
• Funds with expense ratios above 1.00% beat their benchmarks 12% of the time

The relationship is not perfect—some high-fee funds do outperform—but it is powerful. The cheapest active funds have roughly a 50–50 chance against the index, while the most expensive funds have only a 10–15% chance. This suggests that fee level is one of the few variables an investor can use to improve odds of selecting an outperformer.

Volatility and Drawdowns: Do Active Funds Downside Protect?

One argument for active management is that managers can reduce volatility or soften drawdowns by engaging in tactical risk management. The 15-year data does not support this claim.

During the 2008 financial crisis, the S&P 500 fell 37.0%. The median active large-cap fund fell 38.2%. During the 2020 COVID crash, the S&P 500 fell 34% in February–March. The median active large-cap fund fell 36%. Active managers do not systematically protect downside. When equities fall, most active portfolios fall nearly as much, because active managers cannot time the market or maintain large cash allocations without permanently sacrificing returns in bull markets.

Maximum drawdown analysis over the 15-year period shows similar results: the S&P 500 drawdown was 57.7% (from peak in 2007 to trough in 2009). The median active large-cap fund's maximum drawdown was 59.1%—slightly worse. This is consistent with findings that active managers take similar (or sometimes higher) risk than the market, but generate lower returns.

Conclusion: 15 Years of Passive Dominance

The 15-year record from 2009 to 2023 tells a clear story: passive index funds beat active managers with high consistency. The performance gap—1.4–1.8 percentage points annually depending on asset class—is largely explained by fees and trading costs. While some active managers outperform, they are a small minority, and identifying them in advance is nearly impossible. For most investors, the 15-year record strongly supports a passive indexing strategy.

How it flows

Next

Next, we examine the survivorship bias that inflates active fund returns in databases and explain why the true underperformance of active management is even larger than reported figures suggest.