Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/111610
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Title: Robust utility maximisation with intractable claims
Authors: Li, Y 
Xu, ZQ 
Zhou, XY
Issue Date: Oct-2023
Source: Finance and stochastics, Oct. 2023, v. 27, no. 4, p. 985-1015
Abstract: We study a continuous-time expected utility maximisation problem where the investor at maturity receives the value of a contingent claim in addition to the investment payoff from the financial market. The investor knows nothing about the claim other than its probability distribution; hence the name “intractable claim”. In view of the lack of necessary information about the claim, we consider a robust formulation to maximise her utility in the worst scenario. We apply the quantile formulation to solve the problem, express the quantile function of the optimal terminal investment income as the solution of certain variational inequalities of ordinary differential equations, and obtain the resulting optimal trading strategy. In the case of exponential utility, the problem reduces to a (non-robust) rank-dependent utility maximisation with probability distortion whose solution is available in the literature. The results can also be used to determine the utility indifference price of the intractable claim.
Keywords: Calculus of variations
Intractable claim
Quantile formulation
Rank-dependent utility
Robust model
Variational inequalities
Publisher: Springer
Journal: Finance and stochastics 
ISSN: 0949-2984
EISSN: 1432-1122
DOI: 10.1007/s00780-023-00512-2
Rights: ©Springer-Verlag GmbH Germany, part of Springer Nature 2023
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s00780-023-00512-2.
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