Arbeitspapier

Geometrical framework for robust portfolio optimization

We consider a vector-valued multivariate risk measure that depends on the user's profile given by the user's utility. It is constructed on the basis of weighted-mean trimmed regions and represents the solution of an optimization problem. The key feature of this measure is convexity. We apply the measure to the portfolio selection problem, employing different measures of performance as objective functions in a common geometrical framework.

Sprache
Englisch

Erschienen in
Series: Discussion Papers in Econometrics and Statistics ; No. 01/14

Klassifikation
Wirtschaft
Thema
Multivariate risk measure
robust portfolio optimization
weighted-mean trimmed regions
data central regions
convex risk measure
distortion risk measure

Ereignis
Geistige Schöpfung
(wer)
Bazovkin, Pavel
Ereignis
Veröffentlichung
(wer)
University of Cologne, Institute of Econometrics and Statistics
(wo)
Cologne
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bazovkin, Pavel
  • University of Cologne, Institute of Econometrics and Statistics

Entstanden

  • 2014

Ähnliche Objekte (12)