Title :
Comparison of Estimators of Tail Dependence Coefficient
Author :
Ou, Shide ; Yi, Danhui
Author_Institution :
Sch. of Stat., Renmin Univ. of China, Beijing, China
Abstract :
To find effective estimations of tail dependence, we present the estimators of upper tail dependence coefficient by using survival copula. We research to two problems by using the samples from t-copula. Firstly, do the estimators estimate effectively the upper tail dependence coefficients of copula? Which is the best among the estimators? Secondly, if sample isn´t from true distribution, do the estimators have model risk? Simulation shows that the estimators can estimate effectively the tail dependence coefficients of t-copula. By comparison of estimators, a better estimator is found out among the estimators. Therefore if sample is from true distribution, the estimators can estimate effectively upper tail dependence coefficients. However, if sample isn´t from underlying copula, the estimators have model risk.
Keywords :
risk management; statistical analysis; survival copula; t-copula; tail dependence coefficient; tail dependence estimations; underlying copula; Artificial neural networks; Biological system modeling; Correlation; Educational institutions; Estimation; Risk management; Software;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660326