Bayesian Pricing of the Optimal-Replication Strategy for European Option in the JD(M)J Model

Maciej Kostrzewski



In incomplete markets replication strategies may not exist and pricing of derivatives is not an easy task. This paper presents an application of Bertsimas, Kogan and Lo’s algorithm of determining an optimal-replication strategy. In the Merton model the likelihood function is a product of a mixture of infinite number of components. In the paper this number is assumed to be equal to a fixed value M+1. To determine the optimal strategy, we should estimate unknown parameters. To this end we resort to Bayesian estimation techniques. The presented methodology is exemplified by an empirical research.



incomplete markets; Bayesian inference; jump-diffusion process; pricing of deriv-atives

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ISSN (print) 1234-3862
ISSN (online) 2450-7067

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