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Implications for Active Investors

If markets are even semi-strong efficient, then analysing publicly available information to find mispriced securities is — in aggregate — a zero-sum game before costs and a negative-sum game after them. This does not mean every active manager underperforms every year. It means that the burden of…

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Implications for Active Investors

The Burden of Proof Has Shifted

If markets are even semi-strong efficient, then analysing publicly available information to find mispriced securities is — in aggregate — a zero-sum game before costs and a negative-sum game after them. This does not mean every active manager underperforms every year. It means that the burden of proof lies squarely with active strategies to demonstrate genuine, persistent alpha after fees.

The evidence has largely failed to discharge that burden. Study after study, across geographies, time periods, and asset classes, shows that most active managers underperform their passive benchmark over horizons of ten years or more. The minority who do outperform are not reliably identifiable in advance.

Past Performance Does Not Predict Future Performance

This is perhaps the most practically important implication. Investors instinctively use recent outperformance as the primary criterion for selecting active managers. The research is clear: past alpha is a poor predictor of future alpha. A fund's top-quartile performance in one period is barely more informative about the next period than a coin flip. The main exception — negative persistence — is more robust: poor performers are somewhat more likely to continue underperforming (partly because high fees are a persistent drag).

The Two-Level Problem

Even if a minority of active managers do possess genuine skill, investors face a second problem: identifying them in advance. Past performance is noisy. The manager who outperformed last decade may have benefited from style tailwinds (a value run, a growth run) that are now mean-reverting. Distinguishing luck from skill requires many decades of data — far more than most managers have on record.

The Joint Hypothesis Problem

A subtle technical point matters here. Any test of market efficiency is simultaneously a test of the asset pricing model used as the benchmark. If a strategy appears to generate alpha relative to the CAPM, this might reflect genuine inefficiency — or it might mean the CAPM is an incomplete model of risk (which Fama himself later demonstrated with his multi-factor models). Anomalies can persist in the literature for years before researchers establish whether they reflect true inefficiency or simply missing risk factors.

The Practical Conclusion

The practical implication for most investors is not that active management is always wrong, but that the default should be passive. An investor considering an active strategy should ask: what specific, durable edge does this manager possess that is not already priced in, and is the fee justified by the expected alpha net of costs and taxes? In most cases, a rigorous answer to that question leads back to low-cost index funds.

Educational content only. Not financial, investment, tax or legal advice. Learn more

Quiz me on this
Why is active management described as a "negative-sum game" rather than a "zero-sum game"?
  1. Because some investors are irrational and always lose
  2. ✓ Because costs mean that active investors in aggregate must underperform the passive benchmark
  3. Because passive funds always outperform in bull markets
  4. Because there are more active investors than passive investors
What is the "joint hypothesis problem" in testing market efficiency?
  1. It is impossible to test both forms of efficiency at the same time
  2. ✓ Every test of efficiency is also a test of the asset pricing model used as the benchmark
  3. Active and passive strategies must both be tested over the same period
  4. The hypothesis requires testing across at least two different markets simultaneously
Which form of persistence in active fund performance is actually better supported by evidence?
  1. Positive persistence — top performers keep outperforming
  2. No persistence — performance is entirely random
  3. ✓ Negative persistence — poor performers are somewhat likely to keep underperforming
  4. Style persistence — growth funds keep beating value funds