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

Resources

A short reading list

If this site makes you want to go deeper, start here. The first group is the anomalies themselves; the second is the replication literature that put them on trial; the third is about why a premium might exist at all; the last is where to get the data.

The anomalies

Fama, E. & French, K. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics.

The paper that turned 'value and size beat the market' into a model everyone still regresses against. Everything on this site is measured relative to its descendants.

Jegadeesh, N. & Titman, S. (1993). Returns to buying winners and selling losers. Journal of Finance.

Momentum. The one large anomaly that has stubbornly refused to decay, in the US and nearly everywhere else.

Fama, E. & French, K. (2015). A five-factor asset pricing model. Journal of Financial Economics.

Adds profitability and investment. The current default benchmark; our 'α vs factors' column uses this plus momentum.

Novy-Marx, R. (2013). The other side of value: the gross profitability premium. Journal of Financial Economics.

Made quality respectable and gave value investors a hedge: buy cheap AND profitable.

The replication crisis in asset pricing

Harvey, C., Liu, Y. & Zhu, H. (2016). … and the cross-section of expected returns. Review of Financial Studies.

Counts 316 published factors and argues that, given the search, the honest significance bar is a t-stat around 3.0 — not 2.0. The intellectual backbone of the multiple-testing page.

McLean, R. D. & Pontiff, J. (2016). Does academic research destroy stock return predictability?. Journal of Finance.

Replicates 97 anomalies and finds returns fall ~26% out-of-sample and ~58% post-publication — the effect this whole site is a small demonstration of.

Hou, K., Xue, C. & Zhang, L. (2020). Replicating anomalies. Review of Financial Studies.

Tries to reproduce 447 anomalies with consistent methods and microcap controls; ~64% fail to clear a t-stat of 1.96. Controversial in its choices, essential in its conclusion.

Chen, A. & Zimmermann, T. (2022). Open source cross-sectional asset pricing. Critical Finance Review.

Public code and data for 200+ predictors, with the original-paper results carefully catalogued. The best starting point if you want to extend this work beyond free portfolio data.

Green, J., Hand, J. & Soliman, M. (2011). Going, going, gone? The apparent demise of the accruals anomaly. Management Science.

A clean case study of one anomaly dying on schedule after hedge funds noticed it. Referenced on the accruals page.

Why would a premium exist?

Frazzini, A. & Pedersen, L. H. (2014). Betting against beta. Journal of Financial Economics.

The leverage-constraint explanation for why low-risk stocks win risk-adjusted — and the construction of the BAB factor used here.

Asness, C., Frazzini, A. & Pedersen, L. H. (2019). Quality minus junk. Review of Accounting Studies.

Defines 'quality' (profitable, growing, safe, well-managed) and shows the market only partly prices it. Source of the QMJ series.

Lakonishok, J., Shleifer, A. & Vishny, R. (1994). Contrarian investment, extrapolation, and risk. Journal of Finance.

The canonical behavioral case for value: investors extrapolate past growth too far, and it mean-reverts.

Cochrane, J. (2011). Presidential address: discount rates. Journal of Finance.

Coined 'a zoo of new factors' and lays out the framework — every anomaly is a statement about discount rates — that the risk-vs-behavioral debate lives inside.

Data

Kenneth R. French (—). Data Library. Tuck School of Business, Dartmouth.

Free monthly factor and portfolio returns back to 1926. The source for most of this site.

AQR Capital Management (—). Datasets. aqr.com.

Public monthly series for QMJ, BAB, value & momentum everywhere, and the Century of Factor Premia.

Open Source Asset Pricing (—). Portfolio returns & signal code. openassetpricing.com.

Chen & Zimmermann's downloadable returns and Stata/Python code for 200+ predictors.

Links go to publishers or authors’ pages where a free version usually exists. This list is a starting point, not a survey — the Open Source Asset Pricing bibliography is the comprehensive one.