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Quantitative Finance · Glossaire

Qu'est-ce que « Convex risk measure, entropic risk measure, indifference price » ?

Aussi appelé : convex risk measure · entropic risk measure · indifference price

Definition 19.1 Machine Learning for Markets · Chapitre 19 — Deep Hedging and Machine Learning in Pricing

A convex risk measure ρ\rho assigns to a random P&L XX the amount of cash that makes it acceptable, and is monotone, cash-invariant (ρ(X+c)=ρ(X)−c\rho(X + c) = \rho(X) - c) and convex (Föllmer and Schied, 2002); expected shortfall (Book 6, chapter 21) is one. The entropic risk measure is ρ(X)=λ−1log⁡E[e−λX]\rho(X) = \lambda^{-1}\log\E[e^{-\lambda X}], the certainty equivalent of exponential utility with risk aversion λ\lambda. The indifference price of a claim is the premium that leaves the seller exactly as well off, by the risk measure, as not selling, each with its best trading strategy: p=inf⁡δρ(−Z+Gδ)−inf⁡δρ(Gδ)p = \inf_\delta\rho(-Z + G_\delta) - \inf_\delta\rho(G_\delta), where GδG_\delta is the gain of trading strategy δ\delta after costs. When the underlying’s price is a martingale, as in the chapter’s simulation, not trading is best without the claim and the second term is zero.

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