Journal of Banking & Finance Vol. 32 No. 5 2008
Hedge fund pricing and model uncertainty
Abstract
This article uses Bayesian model averaging to study model uncertainty in hedge fund pricing. We show how to incorporate heteroscedasticity, thus, we develop a framework that jointly accounts for model uncertainty and heteroscedasticity. Relevant risk factors are identified and compared with those selected through standard model selection techniques. The analysis reveals that a model selection strategy that accounts for model uncertainty in hedge fund pricing regressions can be superior in estimation/inference. We explore potential impacts of our approach by analysing individual funds and show that they can be economically important.
- DOI
- 10.1016/j.jbankfin.2007.05.011
- Volume
- 32
- Issue
- 5
- Pages
- 741-753
- Language
- en
- Sources
- openalex crossref bibtex:phds-export.bib