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Strategy #0000000081 · Mean reversion and long-horizon factors

Long-term reversal and contrarian investing
Enter past loser/winner returns, next-period basket assumptions and costs to inspect a contrarian spread.

Long-term reversal buys stocks with poor multi-year past returns and shorts prior winners. De Bondt and Thaler connect it to investor overreaction; later work points to long-run risk premia, intangible returns and small-stock effects. Formation windows, skipping recent months, delistings and costs all affect results.

Beginner-friendlyAbout 8 minutesEvidence and practical analysis

Three ways in

Understand the story. Then inspect the risk.

Start with a familiar situation, check the payoff, then test how the numbers change.

The idea · in two minutes

How do assumed future returns compare for long-term losers and winners?

Long-term reversal buys stocks with poor multi-year past returns and shorts prior winners. De Bondt and Thaler connect it to investor overreaction; later work points to long-run risk premia, intangible returns and small-stock effects. Formation windows, skipping recent months, delistings and costs all affect results.

Enter past loser/winner returns, next-period basket assumptions and costs to inspect a contrarian spread.

Multi-year reversal is not a forecast for every stock; microcap liquidity and survivorship are key limitations.

  • Signal metricEnter past loser/winner returns, next-period basket assumptions and costs to inspect a contrarian spread.
  • Return scenarioMulti-year reversal is not a forecast for every stock; microcap liquidity and survivorship are key limitations.

Illustrative research examples only. They are not live signals or a recommendation.

Variants · same family, different risk levers

Related approaches use different horizons and data.

Compare ranking rules, holding periods and cost assumptions.

Related strategyRelationshipWhat changesNew cost or risk
Core versionSignal sortLong-term reversal buys stocks with poor multi-year past returns and shorts prior winners. De Bondt and Thaler connect it to investor overreaction; later work points to long-run risk premia, intangible returns and small-stock effects. Formation windows, skipping recent months, delistings and costs all affect results.Multi-year reversal is not a forecast for every stock; microcap liquidity and survivorship are key limitations.
Industry-neutral versionRelative rankingCompare firms within similar industries.Classification and small samples affect signals.
Multi-signal versionFactor combinationCombine with quality or liquidity signals.Adds weight, collinearity and data-mining risk.

Multi-year reversal is not a forecast for every stock; microcap liquidity and survivorship are key limitations.

Read beyond the summary

References

Primary sources and research used to describe the strategy and its limits.

  1. 01De Bondt & Thaler (1985), Does the Stock Market Overreact?research