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


    Duffy, Ken R. 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.

    Item Type: Article
    Keywords: Portfolio selection; Loss averse investors; Large deviations approach; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Experimental Physics
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 1719
    Identification Number: https://doi.org/10.1016/j.physa.2006.11.079
    Depositing User: Hamilton Editor
    Date Deposited: 07 Dec 2009 12:04
    Journal or Publication Title: Physica A: Statistical Mechanics and its Applications
    Publisher: Elsevier BV, North-Holland
    Refereed: Yes
    URI:

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