• Medientyp: E-Book
  • Titel: Integrating Factor Models
  • Beteiligte: Avramov, Doron [VerfasserIn]; Cheng, Si [VerfasserIn]; Metzker, Lior [VerfasserIn]; Voigt, Stefan [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, [2021]
  • Umfang: 1 Online-Ressource (93 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.3924337
  • Identifikator:
  • Schlagwörter: Factor models ; Model integration ; Posterior probability ; Stock return predictability ; Mispricing
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 15, 2021 erstellt
  • Beschreibung: This paper proposes a comprehensive framework to address uncertainty about the correct factor model. Asset pricing inferences draw on a composite model that integrates over candidate models using posterior probabilities as weights. While the integrated model is weighted against deviations from the CAPM, evidence shows that (i) considerable time-varying mispricing exists, (ii) unconditional models record near-zero probabilities, and (iii) the post-earnings announcement drift, quality-minus-junk, and intermediary capital factors are incremental to the market. Moreover, equities appear considerably riskier in the presence of uncertainty about the correct model and underlying parameters. Out-of-sample, the integrated model delivers stable and outperforming efficient portfolios
  • Zugangsstatus: Freier Zugang