• Media type: E-Book
  • Title: A comparison of new factor models
  • Contributor: Hou, Kewei [Author]; Xue, Chen [Author]; Zhang, Lu [Author]
  • Published: Columbus, Ohio: Charles A. Dice Center for Research in Financial Economics, 2015
  • Published in: Ohio State University: Fisher College of Business working paper series ; 2015,0500
    Ohio State University: Fisher College of Business working paper series ; 2015005000
  • Extent: Online-Ressource (87 S.)
  • Language: English
  • DOI: 10.2139/ssrn.2520929
  • Identifier:
  • Keywords: Arbeitspapier ; Graue Literatur
  • Origination:
  • Footnote: Systemvoraussetzungen: Acrobat Reader
  • Description: Using hundreds of significant anomalies as testing portfolios, this paper compares the performance of major empirical asset pricing models. The q-factor model and a closely related five-factor model are the two best performing models among a long array of models. The q-factor model outperforms the five-factor model in factor spanning tests and in explaining momentum and profitability anomalies, but the five-factor model has an edge in explaining value-versus-growth anomalies. Investment and profitability, not liquidity, are the key driving forces in the broad cross section of expected stock returns
  • Access State: Open Access