DocumentCode
536602
Title
Comparison of Estimators of Tail Dependence Coefficient
Author
Ou, Shide ; Yi, Danhui
Author_Institution
Sch. of Stat., Renmin Univ. of China, Beijing, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5660326
Filename
5660326
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