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.
Multi-year reversal is not a forecast for every stock; microcap liquidity and survivorship are key limitations.
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.
The mechanics · payoff and exposure
R_{LS,t+1}=R_{past\ losers,t+1}-R_{past\ winners,t+1}-C
Past losers/winners are ranked over a formation window; future returns and costs are user scenario inputs.
Greeks: the directional intuition
- 資料時點
- Measures sensitivity to implied volatility.
- 模型風險
- Measures sensitivity to implied volatility.
- 執行成本
- Measures sensitivity to implied volatility.
R_{LS,t+1}=R_{past\ losers,t+1}-R_{past\ winners,t+1}-C
Practical context · published observations
Long-term reversal and contrarian investing: read the record with its caveats.
The chart uses the published figures or explicitly labelled study inputs below. A historical index or model replay is not the same as an investor’s realised account return.
Multi-year reversal is not a forecast for every stock; microcap liquidity and survivorship are key limitations. Source ↗ · Methodology ↗
Change assumptions and inspect the scenario
Inputs illustrate the strategy mechanics; they are not live quotes, forecasts or investment advice.
Variants · same family, different risk levers
Related approaches use different horizons and data.
Compare ranking rules, holding periods and cost assumptions.
| Related strategy | Relationship | What changes | New cost or risk |
|---|---|---|---|
| Core version | Signal sort | 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. | Multi-year reversal is not a forecast for every stock; microcap liquidity and survivorship are key limitations. |
| Industry-neutral version | Relative ranking | Compare firms within similar industries. | Classification and small samples affect signals. |
| Multi-signal version | Factor combination | Combine 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.