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With the recent availability of high-frequency Financial data the long range dependence of volatility regained researchers' interest and has lead to the consideration of long memory models for realized volatility. The long range diagnosis of volatility, however, is usually stated for long sample...
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direct forecasts when estimation error is a first-order concern, i.e. in small samples and for long forecast horizons … factor-augmented vector autoregression approach, improves forecasting performance for many variables, particularly at short …
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