Abstract

Abstract Suppose that discounted asset prices in a financial market are given by a P ‐semimartingale S . Among all probability measures Q that turn S into a local Q ‐martingale, the minimal entropy martingale measure is characterized by the property that it minimizes the relative entropy with respect to P . Via convex duality, it is intimately linked to the problem of maximizing expected exponential utility from terminal wealth. It also appears as a limit of p ‐optimal martingale measures as p decreases to 1. Like for most optimal martingale measures, finding its explicit form is easy if S is an exponential Lévy process and quite difficult otherwise.

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