期刊文献+

基于跳跃特征的证券市场信息融入效率研究 被引量:8

Investigation of the Efficiency of Information into the Security Market Based on the Jumps' Features
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摘要 以日间跳跃测量方法为基础,综合日内高频收益序列特征,研究设计了一种甄别金融资产收益日内波动跳跃时刻和规模的方法,对显著跳跃的日内模式、日内跳跃与信息融入效率的关系进行了考察。研究结果发现,显著跳跃在日内本质上是一种信息瞬间完全融入的、激烈的价格发现形式,虽然我国证券市场多数重大信息融入速率较快,但过高的跳跃到达率也反映出市场交易机制尚待完善。 Based on the measurement method of jump in a day frequency,combining the characteristics of high frequency return sequence proceeds intraday,the paper designs a method which could recognize the jump time and size from financial assets' volatility intraday,studying on the model of significant jump intraday,examining the relationship between the jump intraday and the efficiency of information into the market and thus revealing the essential connotation of jumping.The results show that a significant jump intraday is a fierce form of price discovery that the information fully integrates into the market instantly,which though reflects that most information incorporates into the market quickly.
出处 《北京理工大学学报(社会科学版)》 CSSCI 2011年第1期1-5,共5页 Journal of Beijing Institute of Technology:Social Sciences Edition
基金 国家杰出青年科学基金资助项目(70225002) 国家自然科学基金资助项目(70771076)
关键词 日内跳跃 信息融入效率 信息有效性 有效市场假说 jump intraday efficiency of information into the market information effective efficient market hypothesis
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参考文献10

  • 1Barndorff-Nielsen O E,Shephard N.Power and bipower variation with stochastic vohtility and jumps[J].Journal of Financial Econometrics,2004(2):1-37.
  • 2Tg Andersen T B F D.Roughing it up including jump components in the measurement,modeling and forecasting of return volatility[J].The Review of Economics and Statistics,2007,89(4):701-720.
  • 3A(i)t-Sahalia Y,Jacod J.Testing for jumps in a discretely observed process[J].The Annals of Statistics,2007,37(1):184-222.
  • 4Fan J,Wang Y.Multi-scale jump and volatility analysis for high-frequency financial data[J].Journal of the American Statistical Association,2007(102):480.
  • 5胡素华,张世英,张彤.资产价格的抛物线跳跃扩散模型[J].系统工程理论与实践,2006,26(3):1-10. 被引量:7
  • 6李胜歌,张世英.金融波动的赋权“已实现”双幂次变差及其应用[J].中国管理科学,2007,15(5):9-15. 被引量:12
  • 7王春峰,姚宁,房振明,李晔.中国股市已实现波动率的跳跃行为研究[J].系统工程,2008,26(2):1-6. 被引量:49
  • 8Barndorff-Nielsen O E,Shephard N.Econometrics of testing for jumps in financial economics using bipower variation[J].Journal of Financial Econometrics,2006(4):1-30.
  • 9Asgharian H,Holmfeldt M,Larsson M.An event study of price movements following realized jumps:FMA european conference[Z].Prague,2008.
  • 10Lee S S,Mykland P A.Jumps in financial markets:a new nonparametric test and jump dynamics[J].The Review of Financial Studies,2008,21 (6):2535-2563.

二级参考文献56

  • 1徐正国,张世英.调整"已实现"波动率与GARCH及SV模型对波动的预测能力的比较研究[J].系统工程,2004,22(8):60-63. 被引量:51
  • 2徐正国,张世英.多维高频数据的“已实现”波动建模研究[J].系统工程学报,2006,21(1):6-11. 被引量:20
  • 3唐勇,张世英.高频数据的加权已实现极差波动及其实证分析[J].系统工程,2006,24(8):52-57. 被引量:32
  • 4Kuchler U,Neumann K,S(o)rensen M,Streller A.Stock returns and hyperbolic distributions.Discussion Paper No.23,Sonderforschungsbereich 373.Humboldt Universit at zu Berlin.1994.
  • 5Fama E F.The behaviour of stock market prices[J].Journal of Business,1965,38(1):34-105.
  • 6Taylor S.Modelling Financial Time Series[M].Chichester:John Wiley & Sons.1986.
  • 7Tse Y K,Xibin Zhang,Jun Yu.Estimation of hyperbolic diffusion using the Markov chain monte carlo method[J].Quantitative Finance,2003,3 (1):1-12.
  • 8Ait-Sahalia Y.Nonparametric pricing of interest rate derivative securities[J].Econometrica,1996,64(2):527-560.
  • 9Duffie,Darrell,Kenneth J.Singleton.Simulated moments estimation of Markov models of asset prices[J].Econometrica,1993,61(4):929-952.
  • 10Gallant A,Ronald,George Tauchen.Which moments to match?[J].Econometric Theory,1996,12(4):657-681.

共引文献64

同被引文献109

  • 1王骏,张宗成,赵昌旭.中国硬麦和大豆期货市场套期保值绩效的实证研究[J].中国农业大学学报,2005,10(4):131-137. 被引量:38
  • 2彭红枫,叶永刚.中国铜期货最优套期保值比率估计及其比较研究[J].武汉大学学报(哲学社会科学版),2007,60(6):863-868. 被引量:37
  • 3AYt-Sahalia, Y. , 2004, "Disentangling Diffusion from Jumps", Journal of Financial Economics, 74 (3) . 487-528.
  • 4AYt-Sahalia, Y., and Jacod, J., 2012, "Analyzing the Spectrum of Asset Returns. Jump and Volatility Components in High Frequency Data", Journal of Economic Literature, 50. 1007-50.
  • 5Becketti, S. , and Roberts, D. J. , 1990, " Will Increased Regulation of Stock Index Futures Reduce Stock Market Volatility?", Economic Review, 75 (6) . 33-46.
  • 6Bessembinder, H. , and Seguin, P.J. , 1992, " Futures-trading Activity and Stock price Volatility", Journal of Finance, 47 (5) . 2015-2034.
  • 7Carr, P. , and Wu, L. , 2004, "Time-changed L~vy Processes and Option Pricing", Journal of Financial Economics, 71 ( 1 ) . 113- 141.
  • 8Chen, H., Han, Q., Li, Y., and Wu, K., 2013, "Does Index Futures Trading Reduce Volatility in the Chinese Stock Market? A Panel Data Evaluation Approach", Journal of Futures Markets, 33.1167-1190.
  • 9Corsi, F. , Pirino, D. , and Renb, R. , 2010, "Threshold Bipower Variation and the Impact of Jumps on Volatility Forecasting", Journal of Econometrics, 159(2) . 276-288.
  • 10Cox, C. C. , 1976, "Futures Trading and Market Information", Journal of Political Economy, 84(6) . 1215-1237.

引证文献8

二级引证文献67

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