Arbeitspapier

Optimal asset allocation under quadratic loss aversion

We study the asset allocation of a quadratic loss-averse (QLA) investor and 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 a risk-free and a risky asset. We find that the optimal QLA investment in the risky asset is finite, strictly positive and is 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 US assets. We find that QLA portfolios (mostly) outperform MV and CVaR portfolios and that incorporating a conservative dynamic update of the QLA parameters improves the performance of QLA portfolios. Compared with linear loss-averse portfolios, QLA portfolios display significantly less risk but they also yield lower returns.

Language
Englisch

Bibliographic citation
Series: Reihe Ökonomie / Economics Series ; No. 291

Classification
Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Portfolio Choice; Investment Decisions
International Financial Markets
Investment Banking; Venture Capital; Brokerage; Ratings and Ratings Agencies
Subject
quadratic loss aversion
prospect theory
portfolio optimization
MV and CVaR portfolios
investment strategy

Event
Geistige Schöpfung
(who)
Fortin, Ines
Hlouskova, Jaroslava
Event
Veröffentlichung
(who)
Institute for Advanced Studies (IHS)
(where)
Vienna
(when)
2012

Handle
Last update
10.03.2025, 11:43 AM CET

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Object type

  • Arbeitspapier

Associated

  • Fortin, Ines
  • Hlouskova, Jaroslava
  • Institute for Advanced Studies (IHS)

Time of origin

  • 2012

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