Convex comparison inequalities for exponential jump-diffusion processes
Author(s) -
Jean-Christophe Breton,
Nicolas Privault
Publication year - 2007
Publication title -
communications on stochastic analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.224
H-Index - 10
eISSN - 2688-6669
pISSN - 0973-9599
DOI - 10.31390/cosa.1.2.06
Subject(s) - mathematics , convexity , martingale (probability theory) , logarithm , exponential function , regular polygon , jump , convex function , markov process , jump diffusion , pure mathematics , mathematical analysis , statistics , economics , geometry , physics , quantum mechanics , financial economics
Given (Mt)t2R+ and (M t )t2R+ respectively a forward and a backward exponential martingale with jumps and a continuous part, we prove that E( (MtM t )) is non-increasing in t when is a convex function, pro- vided the local characteristics of the stochastic logarithms of (Mt)t2R+ and of (M t )t2R+ satisfy some comparison inequalities. As an application, we de- duce bounds on option prices in markets with jumps, in which the underlying processes need not be Markovian. In this setting the classical propagation of convexity assumption for Markov semigroups (4) is not needed.
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