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dynamics of higher-order moments, and to the other preferred choice of forecasting distribution. We apply our method to Value …-at-Risk forecasting with Student's t distributions and show that the new method is competitive to or better than earlier methods for … volatility forecasting of stock returns and exchange rates. …
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In this paper, we analyze new possibilities in predicting daily ranges, i.e. differences between daily high and low 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...
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