1Sklar A. Fonctions de Repartition a n Dimensions et Leurs Marges[J]. Publications de l'Institute de Statistique de l'Universit 6 de Paris,1958,(8).
2Patton AJ. Modeling Time-varying Exchange Rate Dependence, Using Conditional Copula[C].Working Paper of Department of Economics. University of California,San Diego,200!.
7Kupiec P.Techniques for Verifying the Accuracy of Risk Measurement Models[J]. Journal of Derivatives Winter, 1995,(3).
8Hans M.Testing for Asset Market Linkages:a New Approach Based on Time-varying Copulas[C].Working Paper of Maastricht Research School of Economics of Technology and Organization,2007.
二级参考文献17
1Patton AJ. Modeling Time-varying Exchange rate Dependence using the Conditional Copula. Working Paper of Department of Economics[M].University of California, San Diego,2001.
2Patton AJ. Modeling Asymmetric Exchange rate Dependence[J].International Economic Review,2006,(47).
3Patton AJ.Estimation of Multivariate Models for Time Series of possibly Different Lengths [J].Joumal of Applied Econometrics. 2006,(21).
4Bouye E, Dynamic Copula Quantile Regressions and Tail Area Dynamic Dependence in Forex Markets (WPO3-01)[J].London Financial Econometric Research Centre,City University Business School, 2003,(12).
5Dean Fantazzini, Dynamic Copula Modeling for Value at Risk, Frontiers in Finance and Economics, Forthcoming[J].2006,(11).
6Schweizer B, Sklar A, Probabilistic Metric Space [M].North-holland:New York:1983.
7Roger B'Neslen,An Introduction to Copulas[M].Lectures Notes in Statistics139, New York Springer Verlag 1999.
8Breyman W.Dias, A.Embrechts P .Dependence Structures for Multivariate High-frequency data in Finance,Quantitative Finance[J].2003(3).
8Huiling,et al. A Copula Based GARCH Dependence Model of Shanghai and Shenzhen Stock Markets. Dalarna University ,Sweden. 2009.
9Dana L. Kelly. Using Copulas to Model Dependence in Simulation Risk Assessment. ASME International Mechanical Engineering Congress and Exposition, 2007.
10David Ruppert. Statistics and Data Analysis for Financial Engineering. New York . Springer Science+Business Media, 2011.
