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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
SizeGone

Size (small-minus-big)

Small-cap stocks outperform large-cap stocks.

Banz · Journal of Financial Economics · published 1981 · original sample 1936–1975 (reported ≈ +5.0%/yr, t ≈ 2.6)

How our version differs from the paper. Banz equal-weighted and leaned on the very smallest, often-illiquid stocks. We use the value-weighted SMB factor, which is much weaker. The decay figure compares our replication in-sample to our replication after publication, so it isn’t affected by this — but the level gap between “reported” and “our replication” partly is.
Our replication
+1.7%
1963–2026, per year
Full-sample t
1.6
Sharpe 0.21
Post-publication
+0.4%
since 1982, t = 0.3
Decay
86%
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 (1936–1975)+2.4%11.8%0.260.8-44%
After publication (1982–2026)-0.1%10.1%0.040.3-56%
Full sample (1963–2026)+1.7%10.5%0.211.6-56%

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)+0.9%0.70.07Mkt-RF +0.18
Fama–French 3-factor0.0%0.01.00SMB +1.00, Mkt-RF +0.00, HML +0.00
Fama–French 5-factor0.0%0.01.00SMB +1.00, Mkt-RF +0.00, HML +0.00
FF5 + momentum *0.0%0.01.00SMB +1.00, Mkt-RF +0.00, HML +0.00
FF5 + mom, own factor removed+2.3%1.70.17tests for anything left beyond the other five

* Size (small-minus-big) is itself the SMB factor, so its alpha against a model that contains SMB 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+9.6%/yrSharpe 0.95
1970s+4.7%/yrSharpe 0.39
1980s-0.4%/yrSharpe -0.05
1990s-2.1%/yrSharpe -0.21
2000s+7.1%/yrSharpe 0.56
2010s-0.4%/yrSharpe -0.05
2020s-1.6%/yrSharpe -0.14

The risk explanation

Small firms are more exposed to funding, liquidity and recession risk — the premium pays for that. But the risk-based case has always been thin.

The behavioral explanation

Neglect: small caps are under-researched, so mispricing lasts longer.

Why it might have decayed

The clearest decay story of all. The premium essentially vanished right after Banz published — much of the original result was January, delisting bias, and a handful of tiny illiquid names. It survives today mainly as a control variable and as an interaction (small + value, small + quality).

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.