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In recent years fractionally differenced processes have received a great deal of attention due to its flexibility in financial applications with long memory. This paper considers a class of models generated by Gegenbauer polynomials, incorporating the long memory in stochastic volatility (SV)...
Persistent link: https://www.econbiz.de/10011483824
The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the … forecasting weekly and monthly horizons. …
Persistent link: https://www.econbiz.de/10010477100
Persistent link: https://www.econbiz.de/10012497080
For forecasting volatility of futures returns, the paper proposes an indirect method based on the relationship between … futures and the underlying asset for the returns and time-varying volatility. For volatility forecasting, the paper considers … that the new method based on stochastic volatility models with the asymmetry and long memory outperforms the forecasting …
Persistent link: https://www.econbiz.de/10011590424
This paper considers a flexible class of time series models generated by Gegenbauer polynomials incorporating the long memory in stochastic volatility (SV) components in order to develop the General Long Memory SV (GLMSV) model. We examine the corresponding statistical properties of this model,...
Persistent link: https://www.econbiz.de/10011854876