Why Can't Active Funds Beat the Index Long-Term? The Buffett Bet and the SPIVA Verdict

Buffett's wager and SPIVA data show why most active funds struggle to beat the index over long horizons, and why benchmark choice matters.

Why Can't Active Funds Beat the Index Long-Term? The Buffett Bet and the SPIVA Verdict
Investing Concepts Active vs. Passive Series — Part 1: Why Passive Wins in America | ProfitVision LAB
Why Can't Active Funds Beat the Index Long-Term? The Buffett Bet and the SPIVA Verdict

Before we ask "are Taiwan's managers somehow better," we have to understand why, in America, even the smartest people lose to an index fund that does nothing at all.

2026.06.03 | Shiba the Disciplined | ProfitVision LAB | Active vs. Passive Series: ① U.S. (this piece) → ② Taiwan → ③ The Marathon Fund → ④ Active ETFs

📌 KEY TAKEAWAYS
  • Buffett's 2008–2017 million-dollar bet: an S&P 500 index fund returned ~7.1% a year and crushed a basket of hedge funds at ~2.1%. Not a narrow win — a rout.
  • This is not an anecdote. The SPIVA Scorecard (through year-end 2024) shows that over 15 years, 89.5% of U.S. large-cap active funds lagged the S&P 500. The longer the horizon, the higher the failure rate.
  • Passive wins for three structural reasons: market efficiency, the drag of costs, and index concentration — and these three compound on each other.
  • The key question: Taiwan's market is 60–70% retail by volume, and therefore in theory "less efficient." So will Taiwan's active managers be the exception? That's what Part 2 answers — with Taiwan's own data.

A Bet That Ran for Ten Years

In late 2007, Warren Buffett made a public wager: one million dollars that a low-cost S&P 500 index fund would, over the decade from 2008 to 2017, beat any basket of hedge funds a professional could hand-pick.

His challenger was Ted Seides of Protégé Partners. He didn't pick at random — he chose five "funds of hedge funds," together feeding into more than a hundred elite underlying hedge funds. In other words, he mobilized Wall Street's most expensive, most sophisticated talent. The prize would go entirely to the winner's chosen charity.

Ten years later, the result wasn't a contest. It was an execution:

ContenderAnnualized return, 2008–2017Result
Buffett: S&P 500 index fund (after fees) ~7.1% / yr (cumulative ≈ +125.8%) Won
Seides: basket of five funds of hedge funds (avg.) ~2.1%–2.2% / yr Lost

The five hand-picked baskets returned, cumulatively over the decade, 21.7%, 42.3%, 87.7%, 2.8%, and 27.0% — not one caught the index's +125.8%, and one made just 2.8% in ten years, essentially standing still. The prize (grown to roughly $2.22 million after being placed in Berkshire stock) went to Girls Inc. of Omaha.

Buffett was never betting that markets would rise. He was betting that layers of clever people — charging management fees, performance fees, and trading constantly — would, after costs, fail to keep up with a fund that does nothing but quietly compound. He bet on human nature and on costs, not on luck.

Not an Anecdote, but the Whole Population: the SPIVA Verdict

A single bet could be luck. But what if you took "every active fund in America" as your population and gave it an annual checkup? That is exactly what S&P Dow Jones Indices does each year with its SPIVA Scorecard — it measures the percentage of active funds that lagged the index they were supposed to beat.

As of year-end 2024, the answer is uncomfortable. The headline first: the longer the horizon, the more managers lose.

HorizonShare of U.S. large-cap active funds that lagged the S&P 500
1 year65.24%
5 years76.26%
10 years84.34%
15 years89.50%
20 years91.99%

Put differently: if in 2010 you had randomly picked a U.S. large-cap active fund and held it for 15 years, there was a nearly nine-in-ten chance you'd regret not just buying the index. Widen the lens to all U.S. domestic equity funds versus the broader S&P Composite 1500, and the 15-year lag rate climbs to 93.23%.

And a crueler fact: over the 15-year period ending in 2024, there was not a single equity category in which a majority of active managers beat their benchmark. It wasn't large-caps losing while small-caps won — it was a clean sweep.

One nuance matters: SPIVA is not saying no active fund can ever win. It asks the harder question investors actually face: could you identify the future winner in advance, then hold it through the full cycle? Great active managers do exist. SPIVA's point is that, across the full population, the ex-ante odds of picking one are much lower than fund marketing suggests.

Concept Note
How does SPIVA avoid only counting the winners?

Many fund-performance stats have a fatal flaw called survivorship bias — the poor performers were liquidated or merged away long ago, leaving only the survivors to be averaged, which naturally flatters the numbers.

SPIVA uses the "full starting population": every fund that existed at the start of a period is the denominator, including those that died along the way (all counted as laggards). In just three years, roughly 9% of funds disappear. That makes SPIVA far more honest than the typical fund platform.

Why? The Three Structural Reasons Passive Wins Long-Term

Active funds aren't "not trying." The problem is that the math of this game is stacked against them from the start. Three reasons — and they compound:

Reason 1: The market is too efficient (clever people cancel each other out)

U.S. equities are the most thoroughly analyzed market on earth. Every earnings report, every supply-chain rumor is priced in within seconds by thousands of analysts. When everyone is smart, the winners' excess return must equal the losers' shortfall — it's a zero-sum game. Nobel laureate William Sharpe long ago made this point with "The Arithmetic of Active Management": before costs, the average active investor can only equal the market; they cannot collectively beat themselves.

Reason 2: Costs turn zero-sum into negative-sum

Once you add management fees, trading costs, and taxes, that zero-sum game becomes a negative-sum game. Index funds can carry expense ratios as low as 0.03%–0.1%; active funds routinely charge 1%–2%. A 1.5% annual cost gap, compounded over 20 years, eats more than a third of your final wealth. That's why the lag rate rises with time — time is the amplifier of costs.

Reason 3: Index concentration (the winner-take-all problem)

A cap-weighted index has a hidden feature: it automatically places the biggest weights on the biggest winners. Over the past decade, U.S. returns were heavily concentrated in the "Magnificent Seven." A manager "diversifying for safety" who even slightly underweights these names will lag the index — and over-concentrating violates risk discipline. The cap-weighted index is itself a momentum bet you can hardly avoid losing to. Remember this idea — it becomes the heart of the entire series when we reach Taiwan.

📌 The point: passive doesn't win because the index has magic. It wins because "efficiency × costs × concentration" combine to make active managers, after fees, collectively lag the very market they represent. The longer the horizon, the more relentless these forces.

So What Does the Other Side Say?

Honesty is the floor of research, so the counter-argument belongs on the table too. A 2026 academic paper argues SPIVA is "too pessimistic." Its critique has three points — counting every closed fund as a loser, equal-weighting regardless of size, and comparing against a "hypothetical index" rather than a "real, buyable passive fund." Switch to "asset-weighting" and the active lag rate falls from 79% to about 56%. That is exactly why this series does not only ask "did it win?" It asks, "against which benchmark?"

Disclosure

That study was funded by an active-management industry body (the IAA) — it is advocacy from an interested party, not a neutral conclusion. But it makes one genuinely important point: "which yardstick you measure with" completely changes the verdict. Equal- vs. asset-weighting, hypothetical index vs. real fund — the resulting win rates differ wildly.

This "benchmark trap" is the soul of this series. In the Taiwan installments we'll use one example you won't see coming to pull the whole magic trick of this yardstick apart.

So What About Taiwan? Will Its Managers Be the Exception?

By now a reasonable objection should be forming in your mind: the U.S. market is too efficient, so there's no room for active. But Taiwan is different.

In Taiwan's stock market, retail investors have long accounted for 60–70% of trading volume. In theory, more retail means more emotional pricing, which means a "less efficient" market — and inefficiency is precisely the soil where active managers find bargains and earn excess returns (alpha). So a natural hypothesis follows: in a dumber market, smart managers should win more easily.

It sounds reasonable. Taiwan even has evergreen funds like "Capital Taiwan Marathon," marketed as a living billboard for "beating 0050 year after year."

So have Taiwan's active funds actually beaten the market? In Part 2, we answer with Taiwan's own data — and with a question that will make you rethink what "beating the market" even means. The answer may run completely against your intuition.

👉 Next: "A 100% Wipeout — the Awkward Truth About Taiwan's Large-Cap Active Funds." Not only are Taiwan's managers no more gifted; in 2024 they were wiped out entirely. But there's a twist in the story…

Frequently Asked Questions

Can't active funds really beat the index over the long run?
Over the long run, correct. S&P's SPIVA Scorecard (through year-end 2024) shows that over 15 years, 89.5% of U.S. large-cap active funds lagged the S&P 500, rising to 91.99% over 20 years — the longer the horizon, the higher the failure rate.
How did Buffett's million-dollar bet turn out?
From 2008 to 2017, Buffett's S&P 500 index fund returned about 7.1% a year (roughly +125.8% cumulative), crushing the hedge-fund basket's roughly 2.1% a year. None of the five hand-picked funds of hedge funds caught the index.
Why does passive win over active in the long run?
Three structural forces compound: high market efficiency makes excess returns zero-sum; cost drag (passive 0.03%–0.1% vs. active 1%–2%) turns it negative-sum; and cap-weighted index concentration means a diversified active manager struggles to keep up with the handful of winners leading the market.
What is SPIVA, and is its data trustworthy?
SPIVA is the annual active-versus-passive scorecard from S&P Dow Jones Indices, measuring the share of active funds that lag their index. It uses the full starting population (including funds liquidated or merged mid-period), correcting for survivorship bias — far more rigorous than a typical fund platform.
So can Taiwan's active funds beat the market?
It depends on the pool. In 2024, 100% of Taiwan large-cap active funds lagged their benchmark, while about 90% of small/mid-cap active funds beat it. Taiwan managers' edge lies not in large-caps but in the inefficient small/mid-cap space — see Part 2.
Shiba the Disciplined(柴柴行者)
MBA · Former exchange professional · Industry researcher · Founder, ProfitVision LAB

Two decades in U.S. equity options strategy and industry research, using systematic frameworks to strip emotional noise out of investment decisions. This series draws on S&P Dow Jones Indices (SPIVA), the original Long Bets wager terms, and public financial data. Nothing here is investment advice.

⚠️ All content is for research and educational reference only and does not constitute investment advice.
Investing involves risk; past performance does not guarantee future results. Please assess your own financial situation carefully.
Sources: Long Bets wager #362 original terms; S&P Dow Jones Indices, "SPIVA U.S. Scorecard Year-End 2024" (data as of 2024-12-31, total-return basis); related public financial reporting (through June 2026).