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中国A股市场收益波动的非对称性研究 被引量:32

An Empirical Study on the Asymmetry Volatility of China A Share Stock Market
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摘要 本文运用ARMA—EGARCH及ARMA-TARCH模型,以1993年1月以来沪深两市的A股指数的日收益为研究样本,检验中国股票市场是否存在波动的非对称性,结果表明:无论是上证还是深证A股市场,收益率波动的非对称性都表现出阶段性特征,股市发展早期,市场表现为反向的非对称性或非对称不明显,随着时间的发展,股市收益的波动则存在非对称性,且表现为杠杆效应。 In this paper, The ARMA(m, n)-EGARCH(p,q) and ARMA(m, n)- TARCH(p, q) model is used to fit and analyze the asymmetry volatility of China stock market. The samples are the close prices of Shanghai and Shenzhen A share index from January in 1993. The findings are: In different period, Both in Shanghai and Shenzhen A share Stock Market, the asymmetry of information on Volatility of the stock return rate present stage characteristic. In the initial stages of the stock market, reverse asymmetry volatility or no asymmetry volatility character is present, along with the development of the stock market, the asymmetry volatility and leverage effect are present.
出处 《数理统计与管理》 CSSCI 北大核心 2007年第1期164-171,共8页 Journal of Applied Statistics and Management
关键词 股票市场 非对称性 杠杆效应 ARMA——EGARCH stock market asymmetry leverage effect ARMA-EGARCH
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参考文献15

  • 1陈浪南,黄杰鲲.中国股票市场波动非对称性的实证研究[J].金融研究,2002(5):67-73. 被引量:162
  • 2周少甫,陈千里.中国股市收益波动的实证研究[J].华中科技大学学报(自然科学版),2002,30(9):48-50. 被引量:28
  • 3陈工孟,芮萌.中国股票市场的股票收益与波动关系研究[J].系统工程理论与实践,2003,23(10):12-21. 被引量:31
  • 4刘煜辉,贺菊煌,沈可挺.涨跌停板制度下中国A、B股市场波动的动态变化[J].管理科学,2003,16(5):48-53. 被引量:14
  • 5Black, F, "Studies of Stock Market Volatility Changes". [ J ]. Proceedings of the American Statistical Association. Business and Economic Statistical, 1976, pp. 177 -181.
  • 6Bollerslev, T, "Generalized autoregressive conditional heteroskedasticity" [ J ]. Journal of Econometrics,1986, 31, pp. 307-327.
  • 7Schwert, W. G, "Stock Volatility and the Crash of 1987" [ J]. The Review of Financial Studies, 1990,(3), pp. 77-102.
  • 8Nelson, d, "Conditional heteroskedasticity in asset retums: A new approach"[ J]. Econometrica , 1991,59, pp. 347-370.
  • 9Campell, J.Y. and Hentschel, L. "No News is good News: An Asymmetric model of Changing Volatility in Stock Returns" [J]. Unpublished Manuscript , 1992, Princeton University.
  • 10Koutmos, G. and G. G. Booth, "Asymmetric volatility transmission in international stock markets" [ J].Journal of International Money and Finance, 1995, vol. 14, pp. 747 -762.

二级参考文献26

  • 1陈小悦,李晨.上海股市的收益与资本结构关系实证研究[J].北京大学学报(哲学社会科学版),1995,32(1):72-79. 被引量:130
  • 2孙培源,施东晖.涨跌幅限制降低了股价波动吗?——来自中国股票市场的证据[J].证券市场导报,2001(11):12-17. 被引量:38
  • 3IMrkoulas J, IMum C F. Long term dependence in stock returns[J]. Economics Letters, 1995, 53: 253- 259.
  • 4Bollerslev T R, Chou Y, Kroner K F. ARCH modeling in finance: A review of the theory and empirical evidence[J].Journal of Econometrics, 1992, 52: 5-59.
  • 5Black F. Studies of stock price volatility changes[A], Proceedings of the American Statistical Association, Business and Economics Statistics Section[C]. 1976. 177-181.
  • 6Engle R F, Bollerslev T. Modeling the persistence of conditional variances [J]. Econometric Reviews, 1986,5: 1-50.
  • 7Engle R F, Ng V K. Testing for common features[J]. Journal of Finance, 1993, 48: 1749-1778.
  • 8Engle R F, Ito T, Lin W L. Meteor showers or heat waves? Hetroskedastic intra-daily volatility in the foreign exchange market[J]. Econometrica, 1990, 58: 525-542.
  • 9Lamoureux C G, Lastrapes W D. Heteroskedasticity in stock return data: volume versus GARCH effects [J]. Journal of Finance, 1990, 55: 221'-229.
  • 10Najand M, Yung K. A GARCH examination of the relationship between volume and price variability in futures markets[J]. Journal of Futures Markets, 1991, 11: 613-621.

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