Abstract
We consider the estimation problem of the stochastic volatility in the Hull-White framework. Considering the stock price as the observation, we pose the estimation problem for the stochastic volatility. We first show that it is not possible to formulate this as a usual filtering problem and an alternative formulation is studied. We then derive the nonlinear filtering equation suitable for real observation data and propose a numerical technique to solve the robust filtering equation.
