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Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...
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forecasting horizons. Therefore, a long memory volatility model compared to a short memory GARCH model does not appear to improve …
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This paper examines long memory volatility in international stock markets. We show that long memory volatility is … the cross-sectional dimension. We also find that developed countries possess longer memory in volatility than emerging and …
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