Tail dependence is an important issue to evaluate risk. The multivariate extreme values theory is the most suitable to deal with the extremal dependence. The extremal coefficient measures the degree of dependence between the marginals of max-stable distributions, a natural class of models in this framework. The estimation of the extremal coefficient is addressed and a new estimator is compared through simulation with existing methods. An illustration with real data is presented.This research was financed by Portuguese Funds through FCT—Fundação para a Ciência e a Tecnologia, within the Project UID/MAT/00013/2013 and Project UID/MAT/00006/2013 and by the Research Centre CEMAT through the Project UID/Multi/04621/2013.info:eu-repo/semantics/ac...
In the multivariate setting, estimates of extremal risk measures are important in many contexts, suc...
textabstractA scientific way of looking beyond the worst-case return is to employ statistical extrem...
Extreme value theory provides an asymptotically justified framework for estimation of exceedance pro...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
The extremal index θ is an important parameter in extreme value analysis when extending results fro...
The extremal coefficients are the natural dependence measures for multivariate extreme value distrib...
The extremal coefficients are the natural dependence measures for multivariate extreme value distrib...
A number of existing results in the field of multivariate extreme value theory are presented, such a...
Extreme-value theory is the branch of statistics concerned with modelling the joint tail of a multiv...
Multivariate extreme values require the use of extreme-value copulas, as they appear in the limit of...
summary:Due to globalization and relaxed market regulation, we have assisted to an increasing of ext...
There is an increasing interest to understand the interplay of extreme values over time and across c...
AbstractThe orthant tail dependence describes the relative deviation of upper- (or lower-) orthant t...
This paper presents a model for the joint distribution of a portfolio by inferring extreme movements...
Extreme value theory is a modern statistical method for modelling events with a very low probability...
In the multivariate setting, estimates of extremal risk measures are important in many contexts, suc...
textabstractA scientific way of looking beyond the worst-case return is to employ statistical extrem...
Extreme value theory provides an asymptotically justified framework for estimation of exceedance pro...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
The extremal index θ is an important parameter in extreme value analysis when extending results fro...
The extremal coefficients are the natural dependence measures for multivariate extreme value distrib...
The extremal coefficients are the natural dependence measures for multivariate extreme value distrib...
A number of existing results in the field of multivariate extreme value theory are presented, such a...
Extreme-value theory is the branch of statistics concerned with modelling the joint tail of a multiv...
Multivariate extreme values require the use of extreme-value copulas, as they appear in the limit of...
summary:Due to globalization and relaxed market regulation, we have assisted to an increasing of ext...
There is an increasing interest to understand the interplay of extreme values over time and across c...
AbstractThe orthant tail dependence describes the relative deviation of upper- (or lower-) orthant t...
This paper presents a model for the joint distribution of a portfolio by inferring extreme movements...
Extreme value theory is a modern statistical method for modelling events with a very low probability...
In the multivariate setting, estimates of extremal risk measures are important in many contexts, suc...
textabstractA scientific way of looking beyond the worst-case return is to employ statistical extrem...
Extreme value theory provides an asymptotically justified framework for estimation of exceedance pro...