articleCritical Finance ReviewJan 1, 2022Closed access

Open Source Cross-Sectional Asset Pricing

Federal Reserve Board of Governors · University of Cologne

Indexed incrossref

Abstract

We provide data and code that successfully reproduces nearly all cross-sectional stock return predictors. Our 319 characteristics draw from previous meta-studies, but we differ by comparing our t-stats to the original papers’ results. For the 161 characteristics that were clearly significant in the original papers, 98% of our long-short portfolios find t-stats above 1.96. For the 44 characteristics that had mixed evidence, our reproductions find t-stats of 2 on average. A regression of reproduced t-stats on original long-short t-stats finds a slope of 0.88 and an R2 of 82%. Mean returns are monotonic in predictive signals at the characteristic level. The remaining 114 characteristics were insignificant in…

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368
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83.88
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100%
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Authors

2

Topics & keywords

Keywords
  • Business
  • Open source
  • Consumption-based capital asset pricing model
  • Asset (computer security)
  • Finance
  • Capital asset pricing model
  • Computer science
  • Computer security
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