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Bayesian VAR approach, we observe that effects on forecast errors of professionals turn out to be more significant compared to …. Basierend auf einem Bayesianischen VAR-Modell finden wir, dass eine Steigerung von Unsicherheit oftmals den Prognosefehler …
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specification, in the forecasting of multi-period Value-at-Risk (VaR) and Expected Shortfall (ES) across 20 stock indices worldwide … whether or not accounting for long memory in the conditional variance specification improves the accuracy of the VaR and ES … model does not appear to improve the accuracy of the VaR forecasts for the 1-dayahead,10-day-ahead and 20-day …
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