Minimal $f^q$-martingale measures for exponential Lévy processes

Abstract

Let $L$ be a multidimensional Lévy process under $P$ in its own filtration. The $f^q$-minimal martingale measure $Q_q$ is defined as that equivalent local martingale measure for $\mathcal{E}(L)$ which minimizes the $f^q$-divergence $E[(dQ/dP{)}^q]$ for fixed $q\in (-\infty ,0)\cup (1,\infty )$. We give necessary and sufficient conditions for the existence of $Q_q$ and an explicit formula for its density. For $q=2$, we relate the sufficient conditions to the structure condition and discuss when the former are also necessary. Moreover, we show that $Q_q$ converges for $q\searrow 1$ in entropy to the minimal entropy martingale measure.

Published in at http://dx.doi.org/10.1214/07-AAP439 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

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