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The paper develops a tail risk forecasting model that incorporates the wealth of economic and financial information … available to risk managers. The approach can be viewed as a regularized extension of the two-stage GARCH-EVT model of McNeil and … extreme value distribution of risk. We use a rich data set from the US equity market to explore when this additional …
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specification, in the forecasting of multi-period Value-at-Risk (VaR) and Expected Shortfall (ES) across 20 stock indices worldwide …
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This paper proposes a novel and simple approach to compute daily Value at Risk (VaR) and Expected Shortfall (ES …
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