Estimation and Forecasting of Continuous Time Stochastic Volatility Model
Journal of Financial Studies and Research
This paper improves the estimation of continuous time stochastic model that treats volatility as a latent variable and compares the forecasting performance of the Kalman filter procedure with Exponential model of Autoregressive Conditional Heteroscedastisity. Our empirical study examines the stock indice TUNINDEX by using the…