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Misspecification-Robust Inference in Linear Asset Pricing Models with Irrelevant Risk Factors

Kan, Raymond - ; Robotti, Cesare - ; Gospodinov, Nikolay - ;

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.


Ketersediaan

Call NumberLocationAvailable
RFS2707PSB lt.dasar - Pascasarjana1
PenerbitOxford: Oxford University Press 2014
EdisiVol. 27 No. 7, Jul 2014
SubjekGMM Estimation
Asset pricing models
model misspecification
lack of identification
ISBN/ISSN1465-7368
KlasifikasiNONE
Deskripsi Fisik2266 p.
Info Detail SpesifikThe Review of Financial Studies
Other Version/RelatedTidak tersedia versi lain
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  • Misspecification-Robust Inference in Linear Asset-Pricing Models with Irrelevant Risk Factors

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