Downside loss aversion: Winner or loser?
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  • 作者:Ines Fortin ; Jaroslava Hlouskova
  • 关键词:Quadratic/downside loss aversion ; Portfolio optimization ; MV portfolios ; CVaR portfolios ; Investment strategy
  • 刊名:Mathematical Methods of Operations Research (ZOR)
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:81
  • 期:2
  • 页码:181-233
  • 全文大小:561 KB
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  • 作者单位:Ines Fortin (1)
    Jaroslava Hlouskova (1) (2)

    1. Department of Economics and Finance, Institute for Advanced Studies, Stumpergasse 56, 1060, Vienna, Austria
    2. School of Business and Economics, Thompson Rivers University, Kamloops, British Columbia, Canada
  • 刊物类别:Mathematics and Statistics
  • 刊物主题:Mathematics
    Calculus of Variations and Optimal Control
    Operation Research and Decision Theory
    Business
  • 出版者:Physica Verlag, An Imprint of Springer-Verlag GmbH
  • ISSN:1432-5217
文摘
We study the asset allocation of a quadratic loss-averse (QLA) investor. First, we derive conditions under which the QLA problem is equivalent to the mean-variance (MV) and conditional value-at-risk (CVaR) problems. Then we solve analytically the two-asset problem of the QLA investor for one risk-free and one risky asset. We find that the optimal QLA investment in the risky asset is finite, strictly positive, and minimal with respect to the reference point for a value strictly larger than the risk-free rate. Finally, we implement the trading strategy of a QLA investor who reallocates her portfolio on a monthly basis using 13 EU and 13 US assets. Using risk-adjusted performance measures that do not target specific types of utility we find that QLA portfolios mostly outperform MV and CVaR portfolios; and that incorporating a conservative dynamic update of the QLA parameters, which is based on the historical patterns of bull and bear markets, improves the performance of QLA portfolios. Compared with linear loss-averse portfolios, QLA portfolios display significantly less risk but they also yield lower returns.

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