This article investigates the performance of time series models considering the jumps, permanent component of volatility, and asymmetric information in predicting value-at-risk (VaR). We use ...
This is a preview. Log in through your library . Abstract Based on a unique data set of driving behavior we test whether private information in driving characteristics has significant effects on ...
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