We propose a portfolio selection model based on a generalized hyperbolic predictive distribution. This distribution incorporates uncertainties in mean and volatility of market returns. We then select an optimal portfolio with expected utility calculated tinder the predictive distribution. We demonstrate the performance of the new approach by applying it to simulated and real market data.
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Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R ChinaUniv Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA
Li, Xiang
Qin, Zhongfeng
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Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R ChinaUniv Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA
Qin, Zhongfeng
Ralescu, Dan
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Univ Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USAUniv Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA