Test the Claim
Anyone can show you a strategy that beat the market. Learn the three tests that decide whether it really did, the ten faults that sink most of the evidence, and the return a claim has to clear once risk and your own trading costs are both charged against it.
Read an event window, compute a portfolio study's extreme spread, set up a regression correctly, pick the sampling design that survives the survivor problem, then write the checklist you will hold every future claim to.
To say a strategy earns more than it should, you need a model of what it should earn. So every test of a market-beating claim tests the strategy and that model together.
You are always testing two things at once.
Three ways to get a positive result
- 1The strategy really did beat the market over that period.
- 2The risk model is the wrong model, so its expected return was too low.
- 3The risk model is right, but the strategy's risk was mismeasured.
A strategy shows excess returns after adjusting for risk with the CAPM. What does that establish?
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Investment Foundations
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Source-authentic claims and verified calculations follow Damodaran's 38-webcast Investment Philosophies course, Session 8 of 38: Market Efficiency II — testing market-beating schemes and strategies. William F. Sharpe's official Stanford article, The Sharpe Ratio (1994), controls the modern methodology: OPS uses (return minus risk-free rate) divided by standard deviation, with a clearly labelled 3% illustrative risk-free rate, rather than reproducing the session quiz's omission. The checklist, interactions, and guide dialogue are original OPS pedagogy. The option-listing and low-PE studies are dated historical evidence and are labelled as such; no live market data.