Downside loss aversion: Winner or loser?

Fortin, Ines ORCID: https://orcid.org/0000-0003-4517-455X and Hlouskova, Jaroslava ORCID: https://orcid.org/0000-0002-2298-0068 (2015) Downside loss aversion: Winner or loser? Mathematical Methods of Operations Research, 81 (2), pp. 181-233.

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Abstract or Table of Contents

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. (author's abstract)

Item Type: Article in Academic Journal
Keywords: Quadratic/downside loss aversion, Portfolio optimization, MV portfolios, CVaR portfolios, Investment strategy
Status: Published
Date Deposited: 26 May 2015 08:13
Last Modified: 13 Nov 2019 11:25
Identification Number or DOI: 10.1007/s00186-015-0493-1
ISSN: 1432-2994 (print), 1432-5217 (online)
URI: https://irihs.ihs.ac.at/id/eprint/3355

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