Misspecification-robust inference in linear asset pricing models with irrelevant risk factors
Nikolay Gospodinov,
Raymond Kan and
Cesare Robotti ()
No 2013-09, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta
Abstract:
We show that in misspecified models with useless factors (for example, factors that are independent of the returns on the test assets), the standard inference procedures tend to erroneously conclude, with high probability, that these irrelevant factors are priced and the restrictions of the model hold. Our proposed model selection procedure, which is robust to useless factors and potential model misspecification, restores the standard inference and proves to be effective in eliminating factors that do not improve the model's pricing ability. The practical relevance of our analysis is illustrated using simulations and empirical applications.
Keywords: asset pricing models; lack of identification; model misspecification; GMM estimation (search for similar items in EconPapers)
JEL-codes: C12 C52 G12 (search for similar items in EconPapers)
Pages: 87 pages
Date: 2013-10-01
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (13)
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Journal Article: Misspecification-Robust Inference in Linear Asset-Pricing Models with Irrelevant Risk Factors (2014) 
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