allocation and risk management require estimates of the volatility of these factors. While realized volatility has become a … provide a statistical approach to estimate the volatility of these factors. The efficacy of this approach relative to the use … of models based on squared returns is demonstrated for forecasts of the market volatility and a portfolio allocation …

volatility, but without the estimation problems associated with the latter, and being applicable in the multivariate setting for … model in several ways, it allows for all the primary stylized facts of financial asset returns, including volatility … EM-algorithm is developed for estimation. Each element of the vector return at time t is endowed with a common univariate …

time-varying parameter vector autoregression with stochastic volatility. The empirical analysis reveals several new …

We examine the performance of volatility models that incorporate features such as long (short) memory, regime …-t). Second, we perform a comprehensive panel forecasting analysis of the MSM models as well as other competing volatility models … (GMM) estimation are both suitable for MSM-t models, (ii) empirical panel forecasts of MSM-t models show an improvement …

foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial … Generalized Method of Moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We … by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and …