Anomaly Replication Lab
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  • 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
Low riskFaded

Low beta / betting-against-beta

Low-beta stocks earn higher risk-adjusted returns than high-beta stocks.

Black, Jensen & Scholes; Frazzini & Pedersen · Journal of Financial Economics · published 1972 · original sample 1926–2012 (reported ≈ +7.0%/yr, t ≈ 3.8)

Our replication (CAPM α)
+5.4%
raw spread ≈ 0 by design
α t-stat
2.2
Sharpe -0.08
Post-publication
+6.2%
since 1973, t = 0.4
Decay
-57%
it got stronger after publication

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 (1926–2012)-4.1%22.9%-0.07−0.4-88%
After publication (1973–2026)-4.7%25.5%-0.06−0.4-96%
Full sample (1963–2026)-4.9%24.8%-0.08−0.6-96%

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)+5.4%2.20.40Mkt-RF -1.01
Fama–French 3-factor+4.0%2.00.59SMB -1.01, Mkt-RF -0.75, HML +0.52
Fama–French 5-factor+0.1%0.00.65SMB -0.85, CMA +0.78, Mkt-RF -0.65
FF5 + momentum-1.8%−0.90.66SMB -0.85, CMA +0.72, Mkt-RF -0.61

Rolling performance

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

By decade

1960s-12.6%/yrSharpe -0.72
1970s+1.6%/yrSharpe 0.07
1980s+8.5%/yrSharpe 0.42
1990s-11.3%/yrSharpe -0.59
2000s+4.2%/yrSharpe 0.14
2010s-1.1%/yrSharpe -0.05
2020s-8.3%/yrSharpe -0.21

The risk explanation

Not a risk premium — the opposite. It exists because many investors can't use leverage, so they overpay for high-beta stocks to reach their return target, depressing those stocks' returns.

The behavioral explanation

A 'lottery preference': some investors like the small chance of a huge payoff from a volatile stock and will pay up for it.

Why it might have decayed

The formal BAB factor is post-2014, but the low-beta effect was documented in 1972 and has been remarkably persistent. Critics (Novy-Marx & Velikov) argue the AQR construction leans on tiny illiquid stocks.

Long-short = top-decile minus bottom-decile of stocks univariately sorted on the characteristic. Value-weighted, US equities, monthly, gross of transaction and shorting costs. The original-paper figures are approximate and annualized for comparison.