L\'{e}vy driven models and derivative pricing
Alexander Kushpel, Jeremy Levesley

TL;DR
This paper introduces a novel method for derivative pricing based on Shannon's Information Theory, utilizing $bb$-analyticity of Lévy models to derive new pricing integral representations and algorithms.
Contribution
It presents the concept of $bb$-analyticity for Lévy models and develops a general algorithm for European call option pricing based on this framework.
Findings
Le9vy models are shown to be $bb$-analytic in applications.
New representations of the pricing integral are derived.
A general algorithm for European call options is developed.
Abstract
We develop a general method for derivative pricing. This approach has its roots in Shannon's Information Theory. The notion of -analyticity of L\'{e}vy models is introduced on the basis of which new representations of the pricing integral are obtained. It is shown that popular in applications L\'{e}vy models are -analytic. We apply these results to derive a general algorithm for pricing of European call options.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Credit Risk and Financial Regulations
