期刊文献+

基于SV模型时变参数的中国股市政策效应研究 被引量:4

A Research on Time-varying Parameters of SV Model and the Policy Effects of Chinese Stock Market
下载PDF
导出
摘要 政策效应是一种广泛的现象,但在我国尤为突出。文章通过对SV模型参数集的时变特性研究表明,时变的参数能够有效地反映我国股市的动态过程。SV模型的这一特性,能够检验我国股票市场的政策效应现象,并解释金融时间序列数据的“杠杆效应”。实证得出我国股市政策效应正逐渐减弱,杠杆效应逐渐显著的结论,表明我国股市逐渐走向成熟和完善,与我国股市发展的历史和现状相符。 Policy effect is a universal phenomenon that is more prevalent in China. A time varying feature of the parameters of ASARMAV (1,0) is investigated using EMM. As a result, this feature reflects the dynamics and policy effects of the Chinese stock market. It can also explain the leverage effect in the stock market. The empirical results show that the Chinese stock market is becoming more mature, the policy effects are weakened and the leverage effect is gradually more visible. The conclusion is consistent with the history and the reality of the Chinese stock market.
出处 《北京理工大学学报(社会科学版)》 2006年第3期41-45,共5页 Journal of Beijing Institute of Technology:Social Sciences Edition
基金 国家杰出青年科学基金(70225002) 教育部优秀青年教师教学科研奖励基金共同资助
关键词 随机波动性模型 有效矩估计 杠杆效应 时变参数 ASARMAV模型 政策效应 stochastic volatility model EMM leverage effect time varying parameters ASARMAV model policy effects
  • 相关文献

参考文献10

  • 1胡金焱.政策效应、政策效率与政策市的实证分析[J].经济理论与经济管理,2002,22(8):49-53. 被引量:22
  • 2王春峰.政策市:含义与判断标准.成思危.诊断与治疗:揭示中国的股票市场[M].经济科学出版社,2002.
  • 3陈东成.政策市"问题研究[J].中南工业大学学报(社会科学版),2002,8(4):350-354. 被引量:2
  • 4Danielsson J.Stochastic volatility in asset prices estimation with simulated maximum likelihood[J].Journal of Econometrics,1994,64:375-400
  • 5Van der Sluis P J.EmmPack 1.01:C/C++ code for use with ox for estimation of univariate stochastic volatility models with the efficient method of moments[J],Nonlinear Dynamics and Econometrics.1997,2:77-94.
  • 6Gallant A R,Tauchen G E.Which moments to match?[J] Econometric Theory.1996.12:657-681.
  • 7Gallant A R,Tauchen G E.Efficient method of moments[R].Working paper,University of North Carolina-Chapel,2001.
  • 8Gallant A R,Hsieh D.A,Tauchen G E.Estimation of stochastic volatility models with diagnostics[J].Journal of Econometrics.1997,81:159-192.
  • 9Andersen T G,H-J.Chung,B E Sorensen.Efficient method of moments estimation of a stochastic volatility model:a monte carlo study[J].Journal of Econometrics,1999,91:61-87.
  • 10Van der Sluis P J.Structural stability tests with unknown breakpoint for the efficient method of moments with application to stochastic volatility models[R].Working paper,Department of Actuarial Science and Econometrics University of Amsterdam and Tinbergen Institute,1998.

二级参考文献8

  • 1[1]Fama, Eugen. The behavior of stock market prices [J]. Journal of Business, 1965, (1).
  • 2[2]Wichern, D. W, Miller, R. B, Hsu, D. A. Changes in variance in firstorder autoregressive time series models with application to the behavior of security prices [J]. Applied Statistics, 1976, (25).
  • 3[3]John Y. Campbell, Andrew W. Lo, A. Craig MacKinlay. The econometrics of financial markets [M]. Princeton Universitv Press, 1997.
  • 4[4]特约评论员.正确认识当前股票市场[N].人民日报,1996-12-16.
  • 5[5]特约评论员.坚定信心,规范发展[N].人民日报,1999-06-15.
  • 6王春生,齐观义.浅议我国证券市场自律管理[J].财金贸易,1998(7):51-52. 被引量:1
  • 7王琦.略论中国股票投资风险的宏观管理[J].金融科学(中国金融学院学报),2000(2):23-26. 被引量:1
  • 8李木.市场有效理论对我国股市发展的启示[J].财经科学,2001(2):75-78. 被引量:5

共引文献21

同被引文献34

引证文献4

二级引证文献7

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