Anomaly Replication Lab
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  • Multiple testing
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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
InvestmentGone

Investment / asset growth

Firms that expand their assets aggressively subsequently underperform.

Cooper, Gulen & Schill; Titman, Wei & Xie · Journal of Finance · published 2008 · original sample 1968–2003 (reported ≈ +9.0%/yr, t ≈ 4)

How our version differs from the paper. The Fama–French CMA factor is a milder, B/M-controlled version of the Cooper–Gulen–Schill asset-growth anomaly, whose raw spread was ~9%/yr VW. 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
+2.7%
1963–2026, per year
Full-sample t
2.9
Sharpe 0.41
Post-publication
+0.2%
since 2009, t = 0.1
Decay
96%
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 (1968–2003)+5.4%7.5%0.744.0-17%
After publication (2009–2026)-0.0%7.3%0.030.1-28%
Full sample (1963–2026)+2.7%7.2%0.412.9-28%

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)+4.1%4.10.13Mkt-RF -0.17
Fama–French 3-factor+2.1%2.90.51HML +0.45, Mkt-RF -0.10, SMB -0.02
Fama–French 5-factor0.0%0.01.00CMA +1.00, Mkt-RF +0.00, SMB +0.00
FF5 + momentum *0.0%0.01.00CMA +1.00, Mkt-RF +0.00, SMB +0.00
FF5 + mom, own factor removed+2.1%2.90.53tests for anything left beyond the other five

* Investment / asset growth is itself the CMA factor, so its alpha against a model that contains CMA 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-1.0%/yrSharpe -0.14
1970s+6.2%/yrSharpe 0.94
1980s+5.6%/yrSharpe 0.90
1990s+0.2%/yrSharpe 0.02
2000s+6.6%/yrSharpe 0.81
2010s+0.2%/yrSharpe 0.04
2020s+0.4%/yrSharpe 0.04

The risk explanation

The q-theory explanation: firms invest more when their cost of capital (expected return) is low, so low-investment firms mechanically have higher expected returns.

The behavioral explanation

Empire-building managers over-invest, and investors are slow to mark down the resulting low-quality growth.

Why it might have decayed

Also in the FF5 model. Overlaps value and profitability heavily. Post-publication returns are noticeably smaller than the 2008 sample.

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.