期刊文献+

基于Gaussian Copula与t-Copula的沪深股指相关性分析 被引量:7

Correlation analysis of the Shanghai-Shenzhen stock index based on Gaussian Copula and t-Copula
下载PDF
导出
摘要 针对沪深股指,讨论了Gaussian Copula与t-Copula的密度函数,并进行相关性建模,采用二步估计法对所建模型进行参数估计并给出了相关性指标。最后,通过Monte Carlo模拟的方法比较了Copula关联结构之间的差异。 Gaussian Copula and t-Copula density functions were discussed according to the Shanghai-Shenzhen stock index, and a correlation model was provided. The parameter of this model was estimated by the two-step estimating method and the relative index was given. Finally, the difference between Copula correlation structures was compared by the Monte Carlo method.
出处 《山东大学学报(理学版)》 CAS CSCD 北大核心 2007年第12期63-68,72,共7页 Journal of Shandong University(Natural Science)
基金 山东省自然科学基金资助项目(Y2006A17) 国家统计局资助项目(2006C08)
关键词 GAUSSIAN COPULA t-Copula 相关性分析 Gaussian Copula t-Copula correlation analysis
  • 相关文献

参考文献14

  • 1SKLAR A. Fonctioned repartition a dimension etleurs merges[J]. Publ Inst Stat UNIX, 1959, 8:229-231.
  • 2NELSEN R B. An introduction to Copttlas[M]. New York: Springer-Verlag, 1998.
  • 3BOUYE E, GAUSSEL N, SALMON M. Investigating dynamic dependence using Copula (W P01214) [R]. london: Financial Econometric Research Centre, City University Business School, 2001.
  • 4CLAUDIO ROMANO. Calibrating and simulating Copula functions: an application to the Italian stock market[EB/OL]. [2007-01-30]. http://www, gloriamundi, org/picsresources/cd03, pdf.
  • 5EMBRECHTS P. Using Copula to bound the value-at-risk for function of dependent risks[ J]. Finance and Stochastics, 2003 (7) : 145- 167.
  • 6ROBERTO De MATTEIS. Fitting Copulas to data[ D]. Zurich: 1MU,2001.
  • 7Beatriz raz de Melo Mendes, Rafael Martins de Souza. Measuring financial risks with Copulas[J]. International Review of Financial Analysis, 2004, 13:27-45.
  • 8BOUYE E, DURRLEMAN V, NIKEGHBALI A. Copulas for finance: a reading guide and some applications[R]. Paris: Working Paper of City University Business School, 2000.
  • 9张尧庭.连接函数(copula)技术与金融风险分析[J].统计研究,2002,19(4):48-51. 被引量:294
  • 10张尧庭.我们应该选用什么样的相关性指标?[J].统计研究,2002,19(9):41-44. 被引量:94

二级参考文献60

  • 1[1]Nelsen, R. B (1998), An Introduction to Copulas, Lectures Notes in Statistics, 139,Springer Verlag, New York.
  • 2[2]Embrechts, P., Lindskog, F. And McNeil, A. (2001), Modelling Dependence with Copulas and Applications to Risk Management. Dept. of Math. CH-8092, Zürich, Switzerland.
  • 3[3]Bouyé, E. (2000), Copulas for Finance, A Reading Guide and Some Applications. City University Business School,London.
  • 4[10]Sklar A. Fonctions de repartition àn dimensions et leurs marges[J]. Publication de 1' Institut de Statistique de 1' Université de Paris, 1959, 8: 229-231.
  • 5[11]Nelsen R B. An Introduction to Copulas[M]. New York: Springer, 1998.
  • 6[12]Frees E W, Valdez E A. Understanding relationships using copulas[J]. North American Actuarial Journal, 1998, 2 (1): 1-25.
  • 7[13]Bouyé E, Durrleman V, Nikeghbali A, et al. Copulas for Finance: A Reading Guide and Some Applications[ R]. London: Financial Econometrics Research Centre, City University Business School, 2000.
  • 8[14]Patton A J. Estimation of Copula models for Time Series of Possibly Different Lengths[ R ]. San Diego: Department of Economics,University of California, 2001.
  • 9[15]Diebold F X, Gunther T, Tay A S. Evaluating density forecasts with applications to financial risk management[J]. International Economic Review, 1998, 39: 863-883.
  • 10[16]Diebold F X, Hahn J, Tay A S. Multivariate density forecast evaluation and calibration in financial risk management: High-frequency returns on foreign exchange[J]. The Review of Economics and Statistics, 1999, 81(4): 661-673.

共引文献500

同被引文献65

引证文献7

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部