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models are employed for numerically computing quantile-based risk measures in a collective decision-making context. …
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the model to calculate the Value-at-Risk and Conditional-Value-at-Risk of an insurance product testing the accuracy and …
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Value at risk (VaR) and expected shortfall (ES) are two of the most widely used risk measures in economics and finance … models for the two risk measures. The semiparametric estimations rely on using a class of consistent loss functions recently …
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expected shortfall (ES) risk measure, which show greater sensitivity to tail risk. In this paper it is argued that backtesting … test of value-at-risk (VaR) exceptions at different levels, an idea supported by an approximation of ES in terms of …
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