• Medientyp: E-Book
  • Titel: Dominating Estimators for the Global Minimum Variance Portfolio
  • Beteiligte: Frahm, Gabriel [Verfasser:in]; Memmel, Christoph [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2016]
  • Erschienen in: Bundesbank Series 2 Discussion Paper ; No. 2009,01
  • Umfang: 1 Online-Ressource (44 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.2794024
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2009 erstellt
  • Beschreibung: Two shrinkage estimators for the global minimum variance portfolio that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return are derived. The presented results hold for any number of observations n >= d 2 and number of assets d >= 4. The small-sample properties of the shrinkage estimators and also their large-sample properties for fixed d but n -> infinity as well as n,d -> infinity but n/d -> q <= infinity are investigated. Further, a small-sample test for the question whether it is better to completely ignore time series information in favor of naive diversification is presented
  • Zugangsstatus: Freier Zugang