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 … over the alternative volatility models in terms of mean absolute forecast errors and that (iii) forecast combinations …

The volatility specification of the Markov-switching Multifractal (MSM) model is proposed as an alternative mechanism … for realized volatility (RV). We estimate the RV-MSM model via Generalized Method of Moments and perform forecasting by … volatility models of asset returns. An intra-day data set for five major international stock market indices is used to evaluate …

by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and … foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial …

stock of recent theoretical insights on this model in Duchon et al. (2012) to derive forecasts of financial volatility … the RV framework. We compare the predictive ability of the two against seven classical and multifractal volatility models …

Tests of excessive volatility along the lines of Shiller (1981) and Leroy and Porter (1981) count among the most …

form the best linear forecasts for future volatility we find that the behavioral model generates sensible forecasts that …