Hidden Markov Chain Filtering for a Jump Diffusion Model

In this paper, we derive the finite-dimensional recursive filters for a jump diffusion model with a drift parameter that follows hidden Markov chains. These finite-dimensional filters can be used with the expectation maximization (EM) algorithm to yield maximum likelihood estimates of the parameters of the model and the jump intensity rate.