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基于Copula函数的沪深300股指期货套期保值功能可行性研究 被引量:1

Research on Hedging Functional of HS300 Stock Index Future Based on Copula Function
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摘要 以我国第一支股指期货作为研究对象,主要研究在持有不同证券组合时,利用沪深300股指期货作为对冲品种的套期保值可行性研究。相对于Pearson相关系数,Copula函数对变量间的变动关系给出更加全面的信息,而且其尾部相关性对于我们的研究更有优势。研究结果显示,当持有投资品种以沪深300成份股为主时,为了抵御日间波动风险时,利用股指期货进行套期保值效果非常理想;持有投资品种以中小板指成分股为主时或者是为了抵御日内短期波动风险时,效果不太理想。 The hedging functional of China's first stock index futures will be studied in details by using Copula function.Compared with Pearson's correlation coefficient,we can get more detailed and accurate information,especially the information about the tail dependence which is important for financial studies by using Copula function.By analyzing,we find that the HS300 Stock Index Future can be well used as a tool to hedge the risk that caused by the unexpected market fluctuations of inter-day,when we hold an investment portfolio which contains HS300 constituent stocks.But when the investment portfolio contained by SME board or we want to hedge the risk that caused by the unexpected market fluctuations of intra-day,it wasn't an efficient means.
作者 王志刚
出处 《现代计算机(中旬刊)》 2012年第1期6-11,共6页 Modern Computer
基金 教育部新世纪优秀人才支持计划资助(No.NCET-08-0909)
关键词 股指期货 套期保值 COPULA函数 尾部相关 Stock Index Future Hedging Copula Function Tail Dependence
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  • 1韦艳华,张世英,郭焱.金融市场相关程度与相关模式的研究[J].系统工程学报,2004,19(4):355-362. 被引量:83
  • 2李健伦,方兆本,鲁炜,李红星.Copula方法与相依违约研究[J].运筹与管理,2005,14(3):111-116. 被引量:13
  • 3[1]Nelsen, R. B (1998), An Introduction to Copulas, Lectures Notes in Statistics, 139,Springer Verlag, New York.
  • 4[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.
  • 5[3]Bouyé, E. (2000), Copulas for Finance, A Reading Guide and Some Applications. City University Business School,London.
  • 6[1]Anthony W Ledford, Jonathan Tawn. Statistics for near independence in multivariate extreme value[J]. Biometrika, 1996, 83(1):169-187.
  • 7[2]Anthony W Ledford, Jonathan Tawan. Modelling dependance within joint tail regions[J]. J R Statist Soc B, 1997, 59(2):475-499.
  • 8[3]Roger B Nelsen. An Introduction to Copulas[M]. New York: Springer, 1998.
  • 9[4]Hutchinson T P, Lai C D. Continuous Bivariate Distributions, Emphasising Applications[M]. Rumsby Scientific Publishing, Adelaide, 1990.
  • 10[5]Joe, H. Multivariate Models and Dependence Concepts[M].Chapman and Hall, London,1997.

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  • 1贾晓东.我国开设股指期货交易的可行性与存在的问题[J].中国科技信息,2006(16):175-176. 被引量:4
  • 2菲利普·乔瑞.VaR:N,险价值.张海鱼等译.中信出版社,2000(第1版).
  • 3Kupiec.P.H,White,A. P,Regulatory. Competition and the Effi- ciency of Alternative Derivate Product Margining Systems[J]. Journal of Future Markets,1996.
  • 4Dewachter, H. Gielens,G. Setting Futer Margins: The Extremes Apprpach[J]. Applied Financial Economics,1999.
  • 5Pierre GIOJ, Sebastien Laurent. Market Risk in Commodity Markets:a VaR Approach[J]. Energy Economics,2005.
  • 6徐国祥.吴泽智.我国指数期货保证金水平设定方法及其实证研究-极值理论的应用.
  • 7董丽娟.基于蒙特卡罗模拟的VaR在股指期货保证金设计中的应用.内蒙古大学.2008.
  • 8邵新伟.基于VaR的金融风险度量与管理[D].吉林大学,2004.
  • 9苏涛.金融市场风险VaR度量方法的改进研究.天津大学.2007.
  • 10詹原瑞.市场风险的量度:VaR的计算与应用[J].系统工程理论与实践,1999,19(12):1-7. 被引量:35

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