Multivariate tests for stochastic dominance efficiency of a given portfolio

Thierry Post, Philippe Versijp

Research output: Contribution to journalReview articlepeer-review

46 Citations (Scopus)

Abstract

We develop empirical tests for stochastic dominance efficiency of a given investment portfolio relative to all possible portfolios formed from a given set of assets. Our tests use multivariate statistics, which result in superior statistical power properties compared to existing stochastic dominance efficiency tests and increase the comparability with existing mean-variance efficiency tests. Using our tests, we demonstrate that the mean-variance inefficiency of the CRSP all-share index relative to beta-sorted portfolios can be explained by tail risk not captured by variance. COPYRIGHT 2007, SCHOOL OF BUSINESS ADMINISTRATION, UNIVERSITY OF WASHINGTON.

Original languageEnglish
Pages (from-to)489-516
Number of pages28
JournalJournal of Financial and Quantitative Analysis
Volume42
Issue number2
DOIs
Publication statusPublished - Jun 2007
Externally publishedYes

ASJC Scopus subject areas

  • Accounting
  • Finance
  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Multivariate tests for stochastic dominance efficiency of a given portfolio'. Together they form a unique fingerprint.

Cite this