We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the nai͏̈ve forecast provided by historical volatility. As a somewhat surprising result, we also …, volatility. …

and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very …

Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … volatility components. From a practical point of view, ML also becomes computationally unfeasible for large numbers of components … forecasts which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo …