Density quantization method in the optimal portfolio choice with partial observation of stochastic volatility

Abstract

Computational aspects of the optimal consumption and investment with the partially observed stochastic volatility of the asset prices are considered. The new quantization approach to filtering - density quantization - is introduced which reduces the original infinite dimensional state space of the problem to the finite quantization set. The density quantization is embedded into the numerical algorithm to solve the dynamic programming equation related to the portfolio optimization.