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when estimating error quantiles. In order to prevent this efficiency loss in quantile estimation, we propose a quantile … estimator based on inverting an empirical likelihood weighted distribution estimator. It is found that the new quantile … estimator is uniformly more efficient than the simple empirical quantile and a quantile estimator based on normalized residuals …
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The Pareto model is very popular in risk management, since simple analytical formulas can be derived for financial downside risk measures (value-at-risk, expected shortfall) or reinsurance premiums and related quantities (large claim index, return period). Nevertheless, in practice,...
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CVaR quadrangle and mixed-quantile quadrangle for discrete distributions with equally probable atoms. The deviation in the … two sets of parameters for the mixed-quantile quadrangle. For the first set of parameters, the minimization of error from … the CVaR quadrangle is equivalent to the minimization of the Rockafellar error from the mixed-quantile quadrangle …
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One of the key components of financial risk management is risk measurement. This typically requires modeling, estimating and forecasting tail-related quantities of the asset returns’ conditional distribution. Recent advances in the financial econometrics literature have developed several...
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