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Are Smart Beta strategies suitable for hedge fund portfolios?
Author(s) -
Hitaj Asmerilda,
Zambruno Giovanni
Publication year - 2016
Publication title -
review of financial economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.347
H-Index - 41
eISSN - 1873-5924
pISSN - 1058-3300
DOI - 10.1016/j.rfe.2016.03.001
Subject(s) - hedge fund , portfolio , equity (law) , econometrics , variance (accounting) , economics , index (typography) , skewness , context (archaeology) , actuarial science , beta (programming language) , financial economics , computer science , finance , accounting , paleontology , world wide web , political science , law , biology , programming language
In the equity context different Smart Beta strategies (such as the equally weighted, global minimum variance, equal risk contribution and maximum diversified ratio) have been proposed as alternatives to the cap‐weighted index. These new approaches have attracted the attention of equity managers as different empirical analyses demonstrate the superiority of these strategies with respect to cap‐weighted and to strategies that consider only mean and variance. In this paper we focus our attention to hedge fund index portfolios and analyze if the results reported in the equity framework are still valid. We consider hedge fund index and equity portfolios, the approaches used for portfolio selection are the four ‘Smart Beta’ strategies, mean–variance and mean–variance–skewness . In the two latter approaches the Taylor approximation of a CARA expected utility function and the Polynomial Goal Programing (PGP) have been used. The obtained portfolios are analyzed in the in‐sample as well as in the out‐of‐sample perspectives.