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This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and … bulk distribution components. This implies that the combination of a stochastic econometric model with extreme value theory …
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future events. By combining the idea of Markov bootstrapping with kernel density estimation, this paper presents a simple …
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This paper proposes and analyzes tests that can be used to compare the accuracy of alternative conditional density forecasts of a variable. The tests are also valid in the broader context of model selection based on out-of-sample predictive ability. We restrict attention to the case of density...
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