Asymptotic indifference pricing in exponential L\'evy models
Cl\'ement M\'enass\'e, Peter Tankov

TL;DR
This paper develops closed-form approximations for utility indifference prices in exponential Lévy models, simplifying complex calculations by relating them to Black-Scholes prices and incorporating jump risk effects.
Contribution
It introduces a novel non-asymptotic approximation and a perturbation-based closed-form formula for indifference prices in Lévy models, extending previous methodologies to nonlinear functionals.
Findings
Provides a simple explicit formula for the spread between buyer's and seller's prices.
Quantifies sensitivity of products to jump risk in small jump size limit.
Extends approximation techniques to nonlinear, non-smooth functionals.
Abstract
Financial markets based on L\'evy processes are typically incomplete and option prices depend on risk attitudes of individual agents. In this context, the notion of utility indifference price has gained popularity in the academic circles. Although theoretically very appealing, this pricing method remains difficult to apply in practice, due to the high computational cost of solving the nonlinear partial integro-differential equation associated to the indifference price. In this work, we develop closed form approximations to exponential utility indifference prices in exponential L\'evy models. To this end, we first establish a new non-asymptotic approximation of the indifference price which extends earlier results on small risk aversion asymptotics of this quantity. Next, we use this formula to derive a closed-form approximation of the indifference price by treating the L\'evy model as a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Insurance, Mortality, Demography, Risk Management
