期刊文献+

基于Copula-vines的欧元汇率波动相关性实证研究 被引量:6

Empirical Research on the Correlation of Euro Exchange Rates Based on Copula-vines
下载PDF
导出
摘要 欧洲债务危机后,欧元汇率变动趋势值得关注。文章利用copula vines类模型,在考虑汇率条件波动相关性及汇率波动边际分布独立性的条件下,研究了欧元对美元、人民币、港元和日元四种货币汇率波动的相关性。研究结果表明,欧元对美元汇率同欧元对其他三种货币汇率波动存在不一致性,而在欧元对美元汇率既定条件下,欧元对人民币汇率与欧元对港元汇率、欧元对日元汇率的条件相关基本一致,在欧元对美元汇率、欧元对人民币汇率不变的情况下,欧元对港元汇率同欧元对日元汇率的相关性程度很低。 The change of Euro exchange rates are worth to pay attention after the debt crisis in Europe. This paper uses a new model which is called copula-vines to analyze the correlation of the Euro against the US dollar, the China Yuan, the Hong Kong dollar and the Yen, on the conditio of correlation and marginal distributions independently among exchange rates. The results show that the exchange rate of the Euro against the US dollar is not consistent with the fluctuations of the exchange rates of the Euro against the other three currencies. The conditional correlations are almost consistent between the exchange rates of the Euro against the Yuan and the Euro against the Yen if the exchange rate of the Euro against the US dollar is fixed. The correlation degree of the Euro against Hong kong dollar and the Euro against Yen is very weakly if the exchange rates of the Euro against the US dollar and the Euro against the Yuan are fixed.
作者 崔百胜
出处 《华东经济管理》 CSSCI 2011年第6期74-78,共5页 East China Economic Management
基金 上海市哲学社会科学规划课题"不对称违约传染的供应链融资企业信用风险评价研究"(2009BJB022) 上海市教委科研创新重点项目"基于Copula-GARCH-VaR算法的股指期货套期保值组合最优扣减比率评估研究"(09ZS142) 上海师范大学原创与前瞻性课题"copula函数在非寿险公司动态财务分析中的应用研究"
关键词 COPULA VINES 欧元汇率 波动 相关性 copula-vines Euro exchange rates volatility correlation
  • 相关文献

参考文献10

  • 1Jondeau E, Rockinger M. The copula - GARCH model of conditional dependencies: An international stock - market application [ J ]. Journal of International Money and Fi- nance, 2006, 25 (5), 827-853.
  • 2Fortin I, Kuzmics CI Tail-dependence in stock return- pairs. International Journal of Intelligent Systems in Ac- counting [ J]. Finance & Management, 2000, 11 (2), 89 - 107.
  • 3Patton A J. Estimation of multivariate models for time series of possibly different lengths [ J ]. Journal of applied econo- metrics, 2006, 21, 147 - 173.
  • 4Boyer B H, Gibson M S, Loretan M. Pitfalls in tests for changes in correlations [ R ]. International finance discus- sion paper Board of Governors of the Federal Reserve Sys- tem, 1999.
  • 5Engle R, Sheppard K. Theoretical and empirical properties of dynamic conditional correlation MVGARCH [ R]. San Diego Working Paper, University of California, 2001.
  • 6Loretan M, English W B. Evaluating correlation break- downs during periods of market volatility [ R]. Internation- al Finance Working Paper, Board of Governors of the Fed- eral Reserve System, 2000.
  • 7Bedford T, Cooke R M. Probability density decomposition for conditionally dependent random variables modeled by vines [ J ]. Annals of mathematics and artificial intelli- gence, 2001, (32), 245-268.
  • 8Aas K, Czado C, Frigessi A, et al. Pair- copula con- structions of multiple dependence [ J]. Insurance, mathe- matics and economics, 2009, (44) , 182 - 198.
  • 9Skla A. Fonctions de reparition a n dimension et leurs marges [ J ]. Publication de I'Institut de Statistique de I'Universite de Paris, 1959, (8), 229-231.
  • 10Tse Y k, Tsui A K C. A muhivariate generalized autore- gressive conditional heteroscedasticity model with time -va- rying correlations [ J ]. Journal of Business & Economics Statistics, 2002, 20 (3), 351-362.

同被引文献78

引证文献6

二级引证文献44

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