Filtering a discrete time price process

Abstract

Motivated by the log-normal model for price processes in continuous time, we suppose, in discrete time, the logarithmic difference of the price process is given by the sum of a drift and a 'volatility' component. Filtering techniques from hidden Markov models are applied to estimate these parameters.