Abstract
For 5500 North American hedge funds following 11 different strategies, we analyse the stand-alone performance of these strategies using a stochastic discount factor approach. Employing the same data, we then consider the diversification benefits of each hedge fund strategy when combined with a portfolio of US equities and bonds. We compute the out-of-sample Black-Litterman portfolios, with Bayes-Stein, higher moments, simulations, desmoothed data and allowance for regimes as robustness checks. All but two hedge fund strategies out-perform the market as stand-alone investments; and all but one provide significant diversification benefits. The higher is an investor’s risk aversion, the more beneficial is diversification into hedge funds.
| Original language | English |
|---|---|
| Article number | 101000 |
| Journal | British Accounting Review |
| Volume | 53 |
| Issue number | 5 |
| Early online date | 27 Mar 2021 |
| DOIs | |
| Publication status | Published - Sept 2021 |
Keywords
- Bayes-Stein
- Black-Litterman
- Hedge funds
- Portfolio diversification
- Stochastic discount factors
Fingerprint
Dive into the research topics of 'Hedge Fund Strategies, Performance Diversification: A Portfolio Theory & Stochastic Discount Factor Approach'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver