• 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