Improved Portfolio Choice using Second-Order Stochastic Dominance
We examine the use of second-order stochastic dominance as both a way to measure performance and also as a technique for constructing portfolios. Using in-sample data, we construct portfolios such that their second-order stochastic dominance over a typical pension fund benchmark is most probable. The empirical results based on 21 years of daily data suggest that this portfolio choice technique significantly outperforms the benchmark portfolio out-of-sample. As a preference-free technique it will also suit any risk-averse investor in e.g. a pension fund. Moreover, its out-of-sample performance across eight different measures is superior to widely discussed portfolio choice approaches such as equal weights, mean variance, and minimum-variance methods.
|Date of creation:||11 Nov 2010|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.wiwi.uni-konstanz.de/fb
More information through EDIRC
|Order Information:||Web: http://www.wiwi.uni-konstanz.de/fb|
When requesting a correction, please mention this item's handle: RePEc:knz:dpteco:1014. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gundula Hadjiani)
If references are entirely missing, you can add them using this form.