Anomaly Replication Lab
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  • Multiple testing
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Anomaly Replication LabSign in
  • The zoo
  • Screener
  • Multiple testing
  • Correlations
  • Composite
  • Methodology
  • Guides
  • Resources

Educational replication, not advice. Long-short returns are decile spreads or published factor series from the Kenneth R. French Data Library and AQR, value-weighted, US equities, and gross of transaction and shorting costs — which for high-turnover signals like short-term reversal is the whole story. Reproducing a premium in-sample is not evidence it will persist. Past performance does not predict future results.

© 2026 Austin Levenberg. All rights reserved. This site’s code, design, written analysis, and computed results are not licensed for reuse or redistribution — terms of use · privacy.

Data: Kenneth R. French Data Library, AQR Capital Management public data sets.

Part of austinlev.dev — four research tools, and a note on where this is headed.

← the zoo
MomentumHolds up

Momentum (12–2)

Past 12-month winners keep winning over the next month (skipping the most recent month).

Jegadeesh & Titman · Journal of Finance · published 1993 · original sample 1965–1989 (reported ≈ +12.0%/yr, t ≈ 4.3)

Our replication
+6.2%
1963–2026, per year
Full-sample t
3.9
Sharpe 0.49
Post-publication
+4.3%
since 1994, t = 1.5
Decay
56%
of the premium is gone

The whole history

Growth of $1 in the long-short strategy, gross of trading and shorting costs. The dashed line marks the year the paper was published — everything to its right is out-of-sample.

$1 in the long-short strategy, gross of costs. Grey = the sample the paper had; blue = everything since.

Before and after publication

The comparison the site is built around.

WindowReturn/yrVolSharpet-statMax DD
Paper's sample (1965–1989)+9.5%12.3%0.804.3-20%
After publication (1994–2026)+2.9%16.7%0.261.5-58%
Full sample (1963–2026)+6.2%14.6%0.493.9-58%

Against the factor models

Is there a risk-adjusted alpha left once you control for the standard factors? Alpha is annualized; t-stats use Newey–West standard errors.

ModelAlpha/yrAlpha tR²Biggest loadings
CAPM (market only)+8.3%4.90.03Mkt-RF -0.15
Fama–French 3-factor+9.8%5.90.08HML -0.33, Mkt-RF -0.20, SMB -0.03
Fama–French 5-factor+8.8%4.30.09HML -0.47, CMA +0.29, Mkt-RF -0.16
FF5 + momentum *0.0%0.01.00Mom +1.00, Mkt-RF +0.00, SMB +0.00
FF5 + mom, own factor removed+8.8%4.30.09tests for anything left beyond the other five

* Momentum (12–2) is itself the Mom factor, so its alpha against a model that contains Mom is zero by construction — the informative row is the one with its own factor removed.

Rolling performance

Trailing 3-year Sharpe ratio. Long stretches below zero are common.

By decade

1960s+10.5%/yrSharpe 1.10
1970s+9.8%/yrSharpe 0.75
1980s+9.0%/yrSharpe 0.73
1990s+13.6%/yrSharpe 1.21
2000s+1.0%/yrSharpe 0.04
2010s+3.2%/yrSharpe 0.29
2020s+2.7%/yrSharpe 0.18

The risk explanation

Winners have rising cash-flow risk and become more exposed to the market and to growth shocks — a time-varying-risk explanation, though a contested one.

The behavioral explanation

Under-reaction to news plus delayed overreaction: information diffuses slowly, then trend-chasers push it further before it reverses.

Why it might have decayed

The anomaly that refuses to die — still significant out-of-sample and across countries and asset classes. Its weakness is tail risk: violent crashes in 1932, 2009 and 2020 when beaten-down stocks snap back.

Long-short = the published Fama–French / Carhart factor return. Value-weighted, US equities, monthly, gross of transaction and shorting costs. The original-paper figures are approximate and annualized for comparison.