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for such situations. The familiar forecast combination methods, such as simple average, least squares regression or those …
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This paper studies the performance of nonparametric quantile regression as a tool to predict Value at Risk (VaR). The ….1%) quantiles, where particularly few data points are available, we propose to combine nonparametric quantile regression with …
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This paper studies the performance of nonparametric quantile regression as a tool to predict Value at Risk (VaR). The ….1%) quantiles, where particularly few data points are available, we propose to combine nonparametric quantile regression with … specifications of the Conditionally Autoregressive VaR (CAViaR) models. -- Value at Risk ; nonparametric quantile regression ; risk …
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