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Test Assets and Weak Factors

Dacheng Xiu - ; Stefano Giglio - ; Dake Zhang - ;

We show that two important issues in empirical asset pricing—the presence of weak factors and the selection of test assets—are deeply connected. Since weak factors are those to which test assets have limited exposure, an appropriate selection of test assets can improve the strength of factors. Building on this insight, we introduce supervised principal component analysis (SPCA), a methodology that iterates supervised selection, principal-component estimation, and factor projection. It enables risk premia estimation and factor model diagnosis even when weak factors are present and not all factors are observed. We establish SPCA's asymptotic properties and showcase its empirical applications.


Ketersediaan

Call NumberLocationAvailable
PSB lt.2 - Karya Akhir (Koleksi Majalah)1
PenerbitUSA: The American Finance Association 2025
EdisiVolume 80, Issue 1, February 2025, Pages 259-319
SubjekAsset pricing
Test Assets
Weak Factors
supervised principal component analysis
ISBN/ISSN1540-6261
KlasifikasiNONE
Deskripsi Fisikill, chart, table, grafik, 649 hal, 20 cm
Info Detail SpesifikThe Journal of Finance
Other Version/RelatedTidak tersedia versi lain
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  • Test Assets and Weak Factors

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