by proposing an exponential weighted moving average model that jointly estimates volatility, skewness and kurtosis over …

This paper shows that combinations of option implied and time series volatility forecasts that are conditional on … that this method works well in practice by applying it to volatility forecasts for the Mexican Peso-US Dollar exchange rate …, where the actual value is taken to be the realized volatility measured using intra-day observations …

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 …

-GARCH models to capture time varying volatility and nonlinearity in petrol prices. ANN augmented versions of LSTAR-LST-GARCH models … models, except for the MLP-FIGARCH and MLP-FIAPGARCH models. iv. Volatility clustering, asymmetry and nonlinearity …

varılmaktadır. The study aims to augment commonly applied volatility models with support vector machines and neural networks. The … returns in Istanbul ISE100 stock index. Results suggest that volatility clustering, asymmetry and nonlinearity characteristics …

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 …

In this paper we study new nonlinear GARCH models mainly designed for time series with highly persistent volatility …. For such series, conventional GARCH models have often proved unsatisfactory because they tend to exaggerate volatility … persistence and exhibit poor forecasting ability. Our main emphasis is on models that are similar to previously introduced smooth …