OPTIMAL PORTFOLIO UNDER STATE-DEPENDENT EXPECTED UTILITY
Carole Bernard,
Steven Vanduffel () and
Jiang Ye
Additional contact information
Carole Bernard: Grenoble Ecole de Management, Department of Accounting, Law and Finance, 12 Rue Pierre Sémart, 38000 Grenoble, France†Vrije Universiteit Brussel, Department of Economics and Political Sciences, Pleinlaan 2, 1050 Bruxelles, Belgium
Jiang Ye: #x2020;Vrije Universiteit Brussel, Department of Economics and Political Sciences, Pleinlaan 2, 1050 Bruxelles, Belgium
International Journal of Theoretical and Applied Finance (IJTAF), 2018, vol. 21, issue 03, 1-22
Abstract:
We derive the optimal portfolio for an expected utility maximizer whose utility does not only depend on terminal wealth but also on some random benchmark (state-dependent utility). We then apply this result to obtain the optimal portfolio of a loss-averse investor with a random reference point (extending a result of Berkelaar et al. (2004) Optimal portfolio choice under loss aversion, The Review of Economics and Statistics 86 (4), 973–987). Clearly, the optimal portfolio has some joint distribution with the benchmark and we show that it is the cheapest possible in having this distribution. This characterization result allows us to infer the state-dependent utility function that explains the demand for a given (joint) distribution.
Keywords: Optimal portfolio choice; state-dependent utility; cost-efficiency; portfolio theory; expected utility theory; loss aversion; prospect theory (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219024918500139
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijtafx:v:21:y:2018:i:03:n:s0219024918500139
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219024918500139
Access Statistics for this article
International Journal of Theoretical and Applied Finance (IJTAF) is currently edited by L P Hughston
More articles in International Journal of Theoretical and Applied Finance (IJTAF) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().