This study investigates the performance of five models for forecasting the Egyptian stock market return volatility. We … examined also the ARCH effect to test the validity of using GARCH family to predict the volatility of market indices. The … between errors of volatility forecasting models, we found no significance difference between the errors of competing models …

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 …

This paper introduces a new class of long memory model for volatility of stock returns, and applies the model on …

Stock market volatility clusters in time, appears fractionally integrated, carries a risk premium, and exhibits … asymmetric leverage effects relative to returns. At the same time, the volatility risk premium, defined by the difference between … the risk-neutral and objective expectations of the volatility, is distinctly less persistent and appears short …

Stock market volatility clusters in time, appears fractionally integrated, carries a risk premium, and exhibits … asymmetric leverage effects relative to returns. At the same time, the volatility risk premium, defined by the difference between … the risk-neutral and objective expectations of the volatility, is distinctly less persistent and appears short …

This article analyzed the presence of long memory in volatility in 5 Asian equity indices namely SENSEX, CNIA, NIKKEI …-sample forecast accuracy. The results confirmed the presence of long memory in both the return and volatility series for all the five … markets under study. Among the group, CNIA and STI showed most persistence in both the return and conditional volatility. In …