Does unobservable heterogeneity matter for portfolio-based asset pricing tests?

dc.contributor.authorHöchle, Daniel
dc.contributor.authorSchmid, Markus
dc.contributor.authorZimmermann, Heinz
dc.date.accessioned2024-05-29T06:02:27Z
dc.date.available2024-05-29T06:02:27Z
dc.date.issued2021
dc.description.abstractWe show that portfolio sorts, as widely used in empirical asset pricing, tend to misattribute cross-sectional return predictability to the firm characteristic underlying the sort. Such misattribution arises if the sorting variable correlates with a firm-specific effect capturing unobservable heterogeneity across firms. We propose a new, firm-level regression approach that can reproduce the results from standard portfolio sorts. Besides, our method handles multivariate firm characteristics and, if firm fixed effects are included, is robust to misattributing cross-sectional return predictability. Our empirical results confirm that portfolio sorts have limited power in detecting abnormal returns: Several characteristics-based factors lose their predictive power when we control for unobservable heterogeneity across firms.
dc.eventAmerican Finance Association 2021 Annual meeting
dc.event.end2021-02-05
dc.event.start2021-02-03
dc.identifier.doi10.2139/ssrn.3569485
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/42780
dc.language.isoen
dc.relation.ispartofAmerican Finance Association 2021 Annual Meeting
dc.spatialOnline
dc.subject.ddc330 - Wirtschaft
dc.titleDoes unobservable heterogeneity matter for portfolio-based asset pricing tests?
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Finanzmanagementde_CH
fhnw.openAccessCategoryClosed
fhnw.publicationStatePublished
relation.isAuthorOfPublicationdfffb76a-9f22-40ae-8407-a00d730c561e
relation.isAuthorOfPublicationc2b95b5c-08ba-4604-a44f-7000e23c75d4
relation.isAuthorOfPublication.latestForDiscoverydfffb76a-9f22-40ae-8407-a00d730c561e
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