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Review of Financial Studies Vol. 34 No. 6 2021

Arbitrage Portfolios

Soohun Kim1; Robert A. Korajczyk2; Andreas Neuhierl3

1 College of Business, Korea Advanced Institute of Science and Technology · 2 Kellogg School of Management, Northwestern University · 3 Olin Business School, Washington University in St. Louis

Abstract

We propose a new methodology for forming arbitrage portfolios that utilizes the information contained in firm characteristics for both abnormal returns and factor loadings. The methodology gives maximal weight to risk-based interpretations of characteristics’ predictive power before any attribution is made to abnormal returns. We apply the methodology to simulated economies and to a large panel of U.S. stock returns. The methodology works well in our simulation and when applied to stocks. Empirically, we find the arbitrage portfolio has (statistically and economically) significant alphas relative to several popular asset pricing models and annualized Sharpe ratios ranging from 1.31 to 1.66.

DOI
10.1093/rfs/hhaa102
Volume
34
Issue
6
Pages
2813-2856
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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