A functional Itô’s calculus approach to convex risk measures with jump diffusion

Tak Kuen Siu

European Journal of Operational Research, 2016, vol. 250, issue 3, 874-883

Abstract: Convex risk measures for European contingent claims are studied in a non-Markovian jump-diffusion modeling framework using functional Itô’s calculus. Two representations for a convex risk measure are considered, one based on a nonlinear g-expectation and another one based on a representation theorem. Functional Itô’s calculus for càdlàg processes, backward stochastic differential equations (BSDEs) with jumps and stochastic optimal control theory are used to discuss the evaluation of convex risk measures. FPDIEs and PDIEs for convex risk measures are derived in the Markovian and non-Markovian situations, respectively. An entropic risk measure, which is a particular case of a convex risk measure, is discussed.

Keywords: Risk management; Convex risk measure; Non-Markovian jump-diffusion model; Functional Itô’s calculus; Entropic risk measure (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:250:y:2016:i:3:p:874-883

DOI: 10.1016/j.ejor.2015.10.032

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