components, stochastic shocks, Markov-switching and multifractality. Forecasts are evaluated by means of Mean Squared Errors (MSE …

In this study, the performance of the Multifractal Model of Asset Returns (MMAR) was examined for stock index returns … of four emerging markets. The MMAR, which takes into account stylized facts of financial time series, such as long memory … consists of two sections. In the first section, we estimated the parameters of GARCH, EGARCH, FIGARCH, MRS-GARCH and MMAR for …

In this study, the performance of the Multifractal Model of Asset Returns (MMAR) was examined for stock index returns … of four emerging markets. The MMAR, which takes into account stylized facts of financial time series, such as long memory … consists of two sections. In the first section, we estimated the parameters of GARCH, EGARCH, FIGARCH, MRS-GARCH and MMAR for …

coefficient. This is a multifractality measure that can quantify the deviation from a random walk within the framework of the …

anti-persistence around the year 2000, which still persists. The degree of multifractality varies over time and does not …

-minute closing prices, we find that the Chinese stock index futures returns exhibit long-range correlations and multifractality … there exists two different sources of the multifractality for the Chinese stock index futures market. Our results suggest … that the multifractality is mainly due to long-range correlations, although the fat-tailed probability distributions also …