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Asset Pricing with Omitted Factors

Bibliographic Data

ID10177595
AuthorsStefano Giglio (0000-0002-7703-2671, Center for Economic and Policy Research), Dacheng Xiu (0000-0002-2250-0861, University of Chicago)
Year2021
Volume129
Issue7
Pages1947-1990
Publication date2021-02-24
Open AccessNo
TypeARTICLE
VenueJournal of Political Economy (JOURNAL)
Journal identifiersISSN: 0022-3808 • E-ISSN: 1537-534X
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/714090
OpenAlexW3131102529
LanguageEN
Citations received3
References cited44

Standard estimators of risk premia in linear asset pricing models are biased if some priced factors are omitted. We propose a three-pass method to estimate the risk premium of an observable factor, which is valid even when not all factors in the model are specified or observed. The risk premium of the observable factor can be identified regardless of the rotation of the other control factors if together they span the true factor space. Our approach uses principal components of test asset returns to recover the factor space and additional regressions to obtain the risk premium of the observed factor

Asset (computer security · Capital asset pricing model · Econometrics · Economics · Estimator · Factor analysis · Observable · Risk premium · Statistics · Computer Science · Financial Markets and Investment Strategies · Housing Market and Economics · Mathematics · Stochastic processes and financial applications

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Citations per year1.5
Citation span2024 - 2026 (3)
Highly citedNo

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