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Loss aversion, large deviation preferences and optimal portfolio weights for some classes of return processes

Duffy, Ken and Lobunets, Olena and Suhov, Yuri (2007) Loss aversion, large deviation preferences and optimal portfolio weights for some classes of return processes. Physica A: Statistical Mechanics and its Applications, 378 (2). pp. 408-422. ISSN 0378-4371

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Abstract

We propose a model of a loss averse investor who aims to maximize his expected wealth under certain constraints. The constraints are that he avoids, with high probability, incurring a (suitably dened) unacceptable loss. The methodology employed comes from the theory of large deviations. We explore a number of fundamental properties of the model and illustrate its desirable features. We demonstrate its utility by analyzing assets that follow some commonly used nancial return processes: Fractional Brownian Motion, Jump Diusion, Variance Gamma and Truncated Lévy.

Keywords:Portfolio selection; Loss averse investors; Large deviations approach; Hamilton Institute.
Subjects:Science & Engineering > Hamilton Institute
Science & Engineering > Experimental Physics
Science & Engineering > Mathematics
ID Code:1719
Deposited By:Hamilton Editor
Deposited On:07 Dec 2009 12:04
Journal or Publication Title:Physica A: Statistical Mechanics and its Applications
Publisher:Elsevier BV, North-Holland
Refereed:Yes
URL:http://www.sciencedirect.com/science/journal/03784371

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