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We study the small sample properties of conditional quantile estimators such as classical and IV quantile regression … asymptotic linear expansions with nearly optimal rates. Second, we study the higher-order bias of exact quantile estimators up to …
Persistent link: https://www.econbiz.de/10012582109
Persistent link: https://www.econbiz.de/10005756371
We study the small sample properties of conditional quantile estimators such as classical and IV quantile regression … asymptotic linear expansions with nearly optimal rates. Second, we study the higher-order bias of exact quantile estimators up to …
Persistent link: https://www.econbiz.de/10012509400
Persistent link: https://www.econbiz.de/10010191991
Persistent link: https://www.econbiz.de/10005482192
Value at Risk equation; this includes deriving a new analytical result for the quantile function of the half …
Persistent link: https://www.econbiz.de/10010737959
The aim of this paper is to analyze the sensitivity of Value at Risk (VaR) with respect to portfolio allocation. We derive analytical expressions for the first and second derivatives of the Value at Risk, and explain how they can be used to simplify statistical inference and to perform a local...
Persistent link: https://www.econbiz.de/10004985208
Persistent link: https://www.econbiz.de/10005613457
Persistent link: https://www.econbiz.de/10013534516
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 …
Persistent link: https://www.econbiz.de/10009620388