• Medientyp: E-Book
  • Titel: Predicting Stock Returns Using Industry-Relative Firm Characteristics
  • Beteiligte: Asness, Clifford S. [Verfasser:in]; Porter, R. Burt [Sonstige Person, Familie und Körperschaft]; Stevens, Ross L. [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2000]
  • Umfang: 1 Online-Ressource (46 p)
  • Sprache: Nicht zu entscheiden
  • DOI: 10.2139/ssrn.213872
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 24, 2000 erstellt
  • Beschreibung: Better proxies for the information about future returns contained in firm characteristics such as size, book-to-market equity, cash flow-to-price, percent change in employees, and various past return measures are obtained by breaking these explanatory variables into two industry-related components. The components represent (1) the difference between firms' own characteristics and the average characteristics of their industries (within-industry variables), and (2) the average characteristics of firms' industries (across-industry variables). Each variable is reliably priced within-industry and measuring the variables within-industry produces more precise estimates than measuring the variables in their more common form. Contrary to Moskowitz and Grinblatt [1999], we find that within-industry momentum (i.e., the firm's past return less the industry average return) has predictive power for the firm's stock return beyond that captured by across-industry momentum. We also document a significant short-term (one-month) industry momentum effect which remains strongly significant when we restrict the sample to only the most liquid firms
  • Zugangsstatus: Freier Zugang