Optimal Portfolio Selection for an Investor with Asymmetric Attitude to Gains and Losses
Sergei Sidorov (),
Andrew Khomchenko () and
Sergei Mironov ()
Additional contact information
Sergei Sidorov: Saratov State University
Andrew Khomchenko: Saratov State University
Sergei Mironov: Saratov State University
A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2017, pp 157-169 from Springer
Abstract:
Abstract The description of Cumulative Prospect Theory (CPT) includes three important parts: a value function over outcomes, v(⋅ ); a weighting function over cumulative probabilities, w(⋅ ); CPT-utility as unconditional expectation of the value function v under probability distortion w. In this paper we consider the problem of choosing an CPT-investor’s portfolio in the case of complete market. The problem of finding the optimal portfolio for CPT-investor is to maximize the unconditional expectation of the value function v under probability distortion w over terminal consumption, subject to budget constraint on initial wealth. We find the optimal payoffs for CPT-investor for the classic Black-Scholes environment assuming that there are a single lognormally distributed stock and a risk free bond. We compare the optimal payoffs of CPT-investor with the optimal payoffs of the investor that maximizes expected power utility over terminal payoffs, subject to budget constraint on initial wealth.
Date: 2017
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-3-319-50234-2_13
Ordering information: This item can be ordered from
http://www.springer.com/9783319502342
DOI: 10.1007/978-3-319-50234-2_13
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().