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In general, risk of an extreme outcome in financial markets can be expressed as a function of the tail copula of a high-dimensional vector after standardizing marginals. Hence it is of importance to model and estimate tail copulas. Even for moderate dimension, nonparametrically estimating a tail...
Persistent link: https://www.econbiz.de/10010266194
Recently there has been an increasing interest in applying elliptical distributions to risk management. Under weak conditions, Hult and Lindskog (2002) showed that a random vector with an elliptical distribution is in the domain of attraction of a multivariate extreme value distribution. In this...
Persistent link: https://www.econbiz.de/10010266221
We investigate the asymptotic behavior of the WALS estimator, a model-averaging estimator with attractive finite-sample and computational properties. WALS is closely related to the normal location model, and hence much of the paper concerns the asymptotic behavior of the estimator of the unknown...
Persistent link: https://www.econbiz.de/10013356478
Persistent link: https://www.econbiz.de/10014497477
We introduce and discuss a multivariate version of the classical median that is based on an equipartition property with respect to quarter spaces. These arise as pairwise intersections of the half-spaces associated with the coordinate hyperplanes of an orthogonal basis. We obtain results on...
Persistent link: https://www.econbiz.de/10014497608
In this article, consistency and asymptotic normality of the quasi-maximum likelihood estimator (QMLE) in the class of …
Persistent link: https://www.econbiz.de/10010312004
This note is concerned with estimating censored quantile regressions (CQR). As its major contribution, a' new algorithm, called BRCENS, is developed as an adaption of the Barrodale-Roberts algorithm for the standard quantile regression problem. In a subsequent simulation study, BRCENS performs...
Persistent link: https://www.econbiz.de/10010332101
We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series … processes. We formulate primitive conditions for global identification, invertibility, strong consistency, asymptotic normality …
Persistent link: https://www.econbiz.de/10010377233
robust filtering and forecasting. We provide sufficient conditions for the strong consistency and asymptotic normality of the …
Persistent link: https://www.econbiz.de/10012797266
We consider truncated (or conditional) sum-of-squares estimation of a parametric fractional time series model with an … consistency (which is a prerequisite for proving asymptotic normality) is challenging due to non-uniform convergence of the … components. In contrast, we establish consistency and asymptotic normality of parameter estimates related to the stochastic …
Persistent link: https://www.econbiz.de/10012670894