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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.
Call Number | Location | Available |
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RFS2707 | PSB lt.dasar - Pascasarjana | 1 |
Penerbit | Oxford: Oxford University Press 2014 |
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Edisi | Vol. 27 No. 7, Jul 2014 |
Subjek | GMM Estimation Asset pricing models model misspecification lack of identification |
ISBN/ISSN | 1465-7368 |
Klasifikasi | NONE |
Deskripsi Fisik | 2266 p. |
Info Detail Spesifik | The Review of Financial Studies |
Other Version/Related | Tidak tersedia versi lain |
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