2015年中国股票市场出现异常波动,中金所出台了提高交易手续费及保证金比例等限制股指期货的救市政策。本文运用双重差分模型（DID）,将沪深300及中证500指数成分股作为实验组,匹配相应的非成分股,研究限制股指期货政策对于不同组别股票波动率的影响。研究结果表明,对沪深300和中证500指数成分股,该政策短期内显著降低了股票现货市场的波动率;进一步研究发现,对那些噪音交易含量高的股票,政策的效果更明显。
Abstract
In mid 2015, China's stock market experienced abnormal fluctuations. CFFEX has implemented policies such as increasing the transaction fees and margin to restrict index futures trading. This paper explores the policy's influence on the spot market volatility using Difference-in-Difference（DID）model. The results show that for both the CSI 300 index and the CSI 500 index, the policy significantly reduces the volatility of the spot market in the short term. The policy is more effective for stocks with a higher proportion of noise trading.
关键词
股指期货 /
市场波动率 /
救市政策 /
双重差分模型
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Key words
Index Futures /
The Spot Market Volatility /
Market Rescue Policy /
Difference-in-Difference
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中图分类号：
F832.59
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参考文献
[1] 曹栋,张佳. 基于GARCH-M模型的股指期货对股市波动影响的研究[J]. 中国管理科学,2017,25(1):27-34
[2] 陈创练,黄跃. 股指期货与现货市场溢出效应及动态关系研究——基于中、美、日、香港等市场的实证分析[J]. 宏观经济研究,2014(6):113-123
[3] 戴方贤,尹力博. 股指期货交易提升了股票市场有效性吗[J]. 财贸经济,2014(8):6-51
[4] 郦金梁,雷曜,李树憬. 市场深度、流动性和波动率——沪深300股票指数期货启动对现货市场的影响[J]. 金融研究,2012,6(384):124-138
[5] 刘庆富,华仁海. 中国股指期货与股票现货市场之间的风险传递效应研究[J]. 统计研究,2011,28(11):84-90
[6] 肖浩,孔爱国. 融资融券对股价特质性波动的影响机理研究:基于双重差分模型的检验[J]. 管理世界,2014(8):40-43
[7] 杨阳,万迪昉. 股指期货真的能稳定市场吗?[J]. 金融研究,2010(12):146-158
[8] 郑新业,王晗,赵益卓. “省直管县”能促进经济增长吗?——双重差分方法[J]. 管理世界,2011(8):34-44
[9] 周爱民,韩菲. 股指期货与现货市场的风险溢出研究[J]. 财贸经济,2017(8):52-65
[10] Antoniou A.,Koutmos G.,Pericli A.Index Futures and Positive Feedback Trading:Evidence from Major Stock Exchanges[J]. Journal of Empirical Finance,2005,12(2):219-238
[11] Bessembinder H.,Paul J.S. Futures-Trading Activity and Stock Price Volatility[J]. The Journal of Finance,1992,47(5):2015-2034
[12] Bohl M.T.,Diesteldorf J.,Siklos,P. L. The Effect of Index Futures Trading on Volatility:Three Markets for Chinese Stocks[J]. China Economic Review,2015,34:207-224
[13] Bohl M.T.,Salm C. A.,Wilfling B. Do Individual Index Futures Investors Destabilize the Underlying Spot Market?[J]. The Journal of Futures Markets,2011,31(1):81-101
[14] Chen H.,Han Q.,Li Y.,Wu K.Does Index Futures Trading Reduce Volatility in the Chinese Stock Marke?A Panel Data Evaluation Approach[J]. The Journal of Futures Markets,2013,33(12):1167-1190
[15] Cox C.C. Futures Trading and Market Information[J]. Journal of Political Economy,1976,84(6):1215-1237
[16] French K.R.,Roll R. Stock Return Variances. The Arrival of Information and the Reaction of Traders[J]. Journal of Financial Economics,1986,17(1):5-26
[17] Han Q.,Liang J.Index Futures Trading Restrictions and Spot Market Quality:Evidence from the Recent Chinese Stock Market Crash[J]. The Journal of Futures Markets,2017,37(4):411-428
[18] Harris L.S&P 500 Cash Stock Price Volatilities[J]. The Journal of Finance,1989,44(5):1155-1175
[19] Heckman J.J.,Robb R. Alternative Methods for Evaluating the Impact of Interventions. An overview[J]. Journal of Econometrics,1985,30(1-2):239-267
[20] Hou Y.,Li S.The Impact of the CSI 300 Stock Index Futures:Positive Feedback Trading and Autocorrelation of Stock Returns[J]. International Review of Economics and Finance,2014,33:319-337
[21] Kamara A.,Thomas W.M. Jr.,Siegel A. F. The Effect of Futures Trading on the Stability of Standard and Poor 500 Returns[J]. The Journal of Futures Markets,1992,12(6):645-658
[22] Kan A.C. The Effect of Index Futures Trading on Volatility of HSI Constituent Stocks:a Note[J]. Pacific-Basin Finance Journal,1997,5(1):105-114
[23] Lee S.B.,Ohk K. Y. Stock Index Futures Listing and Structural Change in Time-Varying Volatility[J]. The Journal of Futures Markets,1992,12(5):493-509
[24] Stein J.C. Informational Externalities and Welfare-Reducing Speculation[J]. Journal of Political Economy,1987,95(6):1123-1145
[25] Xie S.,Mo T.Index Futures Trading and Stock Market Volatility in China:A Difference-in-Difference Approach[J]. The Journal of Futures Markets,2014,34(3):282-297
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脚注
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基金
*本文获国家自然科学基金项目面上项目“噪音还是信息?——基于关注度和社交网络理论对股票论坛的研究”（71673318）、国家自然科学基金面上项目“风险投资作用于中国企业成长的机制、路径和成效”（71773152）资助
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