Hedge fund strategies, performance & diversification: a portfolio theory & stochastic discount factor approachNewton, D., Platanakis, E., Stafylas, D., Sutcliffe, C. ORCID: https://orcid.org/0000-0003-0187-487X and Ye, X. (2021) Hedge fund strategies, performance & diversification: a portfolio theory & stochastic discount factor approach. The British Accounting Review, 53 (5). 101000. ISSN 0890-8389
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/j.bar.2021.101000 Abstract/SummaryFor 5,500 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.
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