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VOL. 41 | 2004 An Approximation for Exponential Hedging
Jun Sekine

Editor(s) Hiroshi Kunita, Shinzo Watanabe, Yoichiro Takahashi

Abstract

An optimization problem in mathematical finance, called the exponential hedging problem is addressed. First, the relations between the problem and the backward stochastic differential equation (abbreviated to BSDE) having a quadratic growth term in the drift are reviewed. Next, the asymptotic analysis by Davis (2000) for the problem and the motivation of this paper are stated. Further, with some extensions, his analysis is reinterpreted by using the asymptotic expansion of the BSDE with respect to a small parameter, which suggests an alternative approach to the analysis, and the result on an approximated optimizer is obtained.

Information

Published: 1 January 2004
First available in Project Euclid: 3 January 2019

zbMATH: 1059.60077
MathSciNet: MR2083715

Digital Object Identifier: 10.2969/aspm/04110279

Rights: Copyright © 2004 Mathematical Society of Japan

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