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

Value (book-to-market)

Cheap stocks (high book-to-market) beat expensive ones.

Rosenberg, Reid & Lanstein; Fama & French · Journal of Portfolio Management / Journal of Finance · published 1985 · original sample 1963–1990 (reported ≈ +6.1%/yr, t ≈ 3.2)

Our replication
+3.0%
1963–2026, per year
Full-sample t
2.3
Sharpe 0.34
Post-publication
+2.1%
since 1986, t = 1.0
Decay
60%
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 (1963–1990)+4.8%8.9%0.582.7-28%
After publication (1986–2026)+1.5%10.9%0.191.0-58%
Full sample (1963–2026)+3.0%10.3%0.342.3-58%

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)+4.5%2.80.04Mkt-RF -0.14
Fama–French 3-factor0.0%0.01.00HML +1.00, Mkt-RF +0.00, SMB +0.00
Fama–French 5-factor0.0%0.01.00HML +1.00, Mkt-RF +0.00, SMB +0.00
FF5 + momentum *0.0%0.01.00HML +1.00, Mkt-RF +0.00, SMB +0.00
FF5 + mom, own factor removed+0.9%0.70.51tests for anything left beyond the other five

* Value (book-to-market) is itself the HML factor, so its alpha against a model that contains HML 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+2.3%/yrSharpe 0.35
1970s+7.8%/yrSharpe 0.83
1980s+5.9%/yrSharpe 0.62
1990s+0.1%/yrSharpe 0.01
2000s+8.0%/yrSharpe 0.62
2010s-2.4%/yrSharpe -0.30
2020s+2.1%/yrSharpe 0.14

The risk explanation

Value firms are distressed — high leverage, fixed assets stuck in place — so they fall hardest in bad times. The premium is compensation for that risk.

The behavioral explanation

Investors over-extrapolate: they bid glamour stocks too high and leave beaten-down firms too cheap, and the gap closes as fundamentals surprise.

Why it might have decayed

The most-cited anomaly in finance, so the most-arbitraged. It then went through its worst drawdown ever (2007–2020) as growth/tech compounded — whether that is decay or just a long bad draw is still argued.

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.