conditional volatilities and correlations, the distribution for the innovations and the method of forecast construction. We find … smaller. The differences from the model, distribution and forecast choices are also smaller compared to temporal aggregation. …

that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long … characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models …

that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long … characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models …

This study examines the statistical properties required to model the dynamics of both the returns and volatility series … adequately estimate long-memory dynamics in returns and volatility. The in-sample diagnostic tests as well as out … conditional volatility and strongly support the estimation of dynamic returns that allow for time-varying correlations. A …

The financial markets stylized facts, volatility and its relationship with returns tested empirically in Tehran Stock …, 1) - EGARCH (1, 1) are used to determine the process of stock returns and volatility, and by applying ARCH(M) class … models and out-of-sample methodology the relationship between stock return and volatility is examined. The key findings are …

link between monetary policy rate uncertainty and equity return volatility, both in theory and data. This paper uses … for equity variance and volatility at weekly, monthly and even quarterly horizons. The findings imply that market views of …

This paper examines the impact of intraday periodicity on forecasting realized volatility using a heterogeneous … autoregressive model (HAR) framework. We show that periodicity inflates the variance of the realized volatility and biases jump …

for forecasting the volatility of both the TASI and the TIPISI in the context of petrochemical industries, as this model … outperforms the other models in model estimation and daily out-of-sample volatility forecasting of the two indices. This study is … to make decisions using this model to forecast the risks associated with investing in the Saudi stock market, within …

prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …