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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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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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interval between two quantiles, or in an interval that covers the range of the distribution to the left or right of a quantile …
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