期刊文献+

上证行业指数间的相关性研究及应用 被引量:1

Study and Application of The Correlations Among The Industry Indices
下载PDF
导出
摘要 投资组合中各种资产收益之间的相关性对整个投资组合的风险有着非常重要的影响。运用一种简化的GARCH模型,分析了上证行业指数间的相关性。行业指数的GARCH(1,1)模型估计结果显示,各个行业指数对数收益率的方差都明显受到各自方差的滞后值和残差滞后值的影响。通过对各行业指数残差项的分析,给出了行业指数间动态相关系数的解析表达式;并以上证能源与其余行业指数的相关性为例,给出风险投资组合的投资建议。 The correlations among the different assets have very important impacts on the risk of the portfolio. This paper applies a simplified GARCH model to analyze the correlations among the industry index. The estimation results of GARCH (1,1) model show that the variance of yields about every industry index are significantly influenced by the lag value and residual of its variance. Based on the residuals of industry index, this paper presents analytic expressions of the dynamic correlations among the industry index. We also give some advices about portfolio choice.
作者 郭文英
出处 《金融理论与实践》 CSSCI 北大核心 2013年第3期87-91,共5页 Financial Theory and Practice
基金 国家自然科学基金(11071268)资助
关键词 对数收益率 相关系数 投资组合 logarithmic yield correlation coefficient portfolio
  • 相关文献

参考文献7

  • 1Butler, K.C.and Joaquin,D.C..Are the gains from international portfolio diversification exaggerated?The influence of downside risk in bear markets[J].Joumal of international Money and Finance,2002.(21):981-1011.
  • 2Syriopoulos,T..international portfolio diversifi- cation to central European stock markets[J]. Applied Financial Economies,2004.(14): 1253-68.
  • 3Li Yang,Francis Tapon,Yiguo Sun.International correlations across stock markets and industries:trends and patterns 1988-2002[J].Applied Financial Econom- ics, 2006.(16):1171-1183.
  • 4殷玲.中国股市主要股票指数的联动分析[J].企业经济,2005,24(3):191-192. 被引量:9
  • 5成丹丹,周明华,胡征慧,李阿明.中小板股票交互相关性研究[J].科技通报,2011,27(4):615-620. 被引量:2
  • 6姚燕云,杨国孝.沪深股市收益的相关性[J].数理统计与管理,2006,25(1):78-83. 被引量:7
  • 7Harris,Stoja,Tucker.A Simplified Approach to Modeling the Comovement of Asset Returns[R]. Univer- sity of Exeter,Working Paper,2004.

二级参考文献22

  • 1Mantegna R N and Stanley H E. Introducti-on to Econo- physics : Correlations and Compl-exity in Finance [ M ]. Cambridge : Cambridge University Press, 2000.
  • 2Plerou V,Gopikrishnan P,Rosenow B,et al. Universal and Nonuniversal Properties of Cr-oss Correlations in Fi- nancial Time Series [J]. Phys. Rev. Lett,1999,83: 1471-1474.
  • 3Pan R K and Sinha S. Collective behavior of stock price movements in anemerging ma-rket[J ]. Phys. Rev. E,2007, 76:046116.
  • 4Wilcox D and Gebbie T. An analysis of emss correlations in an emerging market [J ]. Physica A,2007,375: 584-598.
  • 5Mehta M L. Random Matrices [M]. Boston:Academic Press, 1991.
  • 6Guhr T,Muller-Groeling A and Weidenmo-ller H A. Random-matrix theories in quantumphysies:common con- cepts [ J ]. Phys. Rep, 1998,299 : 190-425.
  • 7Laloux L,Cizeau P and Bouchaud J P,et al. Noise Dress- ing of Financial Correlation Matr-ices [J]. Phys. Rev. Lett, 1999,83 : 1467-1470.
  • 8Plerou V,Gopikrishnan P and Rosenow B,et al. Random matrix approachto cross correlati-ons in f'inancial data[ J i]. Phys.Rev. E, 2002,65 : 066126.
  • 9Utsugi A,lno K and Oshikawa M. Random matrix theory analysis of cross correlations in financial markets ! 1~. ]. Phys. Rev. E,2004,70:026110.
  • 10J Shen and B Zheng. Cross-cor'relation in financial dynamics[J]. EPL, 2009,86:48005.

共引文献15

同被引文献8

引证文献1

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