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This paper analyses the long-memory properties of high frequency financial time series. It focuses on temporal aggregation and the influence that this might have on the degree of dependence of the series. Fractional integration or I(d) models are estimated with a variety of specifications for...
Persistent link: https://www.econbiz.de/10010271372
In this paper, we used the GARCH (1,1) and GARCH-M (1,1) models to investigate volatility and persistence at daily … Americans), during March 2013 - January 2017. The results of the GARCH (1.1) show that the models are correctly specified for … stock indices analysed. In the case of the GARCH-M (1.1) model, the variance coefficient in the mean equation was …
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generalize the notion of GARCH processes in an information-theoretic sense and are able to capture skewness and kurtosis better …
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generalized autoregressive conditional heteroscedasticity (GARCH) models are applied. Macroeconomic shocks (GDP, ZEW, IFO, factory …
Persistent link: https://www.econbiz.de/10011317142