股指期货额外30分钟交易时间真的没有价值吗?——来自中国准自然实验的经验证据
Does the Extra 30-Minutes Trading Time of Stock Futures Destabilize the Stock Market: A Quasi Natural Experimental Evidence from China
DOI: 10.12677/FIN.2017.75030, PDF, HTML, XML, 下载: 1,618  浏览: 3,749 
作者: 周先平*, 沈国旭, 李 标, 刘仁芳:中南财经政法大学金融学院,湖北 武汉
关键词: 股指期货股票指数额外30分钟交易时间EGARCH-XVECM-GJR-BEKKStock Futures Stock Spots Extra Trading Time EGARCH-X VECM-GJR-BEKK
摘要: 2016年1月,股指期货交易规则进行了大幅度调整,相对于股票现货额外的30分钟连续竞价交易时间被取消,股票指数期货和现货交易时间同步。交易时间的调整为我们研究股指期货额外30分钟交易时间是否加剧了现货市场的波动提供了一个准自然实验样本。本文借助EGARCH-X模型研究发现,在IF股指期货交易时间缩短前,额外30分钟的期货交易能够对冲昨日现货市场的上涨或下跌,吸收现货收盘阶段的各种消息和冲击,进而降低接下来的现货交易的波动率。借助VECM-GJR-BEKK模型,我们发现在2016年1月之前的9:30~15:00同步交易时间段,两个市场存在着双向波动溢出,9:15~15:15的期货与9:30~15:00的现货不存在双向波动溢出。在2016年1月之后,仅期货市场对现货市场存在单向波动传导,而现货市场无法对期货市场输出波动。因此,期货额外30分钟的交易时间是有价值的,本文建议尽快恢复股指期货盘后和盘前额外的30分钟交易时间,让市场有更多的时间来吸收冲击,平滑波动。
Abstract: During the stock market crash in 2015, stock futures have been widely criticized, which accuse the extra 30 minutes trading time of stock futures misleading stock spots. The cancellation of the extra 30 minutes trading time which means the spots trade synchronously with the futures provides a quasi natural experiment to examine the criticisms. A VECM-GJR-BEKK model is employed to investigate the varying spillover effects between the futures and spots due to the cancellation of the extra trading time. Before the cancellation, the spots have spillover effects on the futures with extra 30 minutes trading time, while the futures with extra trading time have no significant spillover effects on the next day’s spots. The futures have spillover effects on the spots, but the opposite spillover effects don’t hold after the cancellation. The conclusion is that the futures shouldn’t be responsible for the 2015 stock markets crash. The policy implication is to restore the extra 30 minutes trading time of stock futures which could absorb the shocks during the inactive time of the spots, thus smooth the volatility of the spots.
文章引用:周先平, 沈国旭, 李标, 刘仁芳. 股指期货额外30分钟交易时间真的没有价值吗?——来自中国准自然实验的经验证据[J]. 金融, 2017, 7(5): 299-310. https://doi.org/10.12677/FIN.2017.75030

参考文献

[1] Chan, K., Chan, K.C. and Karolyi, G.A. (1991) Intraday Volatility in the Stock Index and Stock Index Futures Markets. Review of Financial Studies, 4, 657-684.
https://doi.org/10.1093/rfs/4.4.657
[2] Abhyankar, A.H. (1995) Return and Volatility Dynamics in the FT-SE 100 Stock Index and Stock Index Futures Markets. Journal of Futures Markets, 15, 457-488.
https://doi.org/10.1002/fut.3990150405
[3] Lihara, Y., Kato, K. and Tokunaga, T. (1996) Intraday Return Dynamics between the Cash and the Futures Markets in Japan. Journal of Futures Markets, 16, 147-162.
https://doi.org/10.1002/(SICI)1096-9934(199604)16:2<147::AID-FUT2>3.0.CO;2-K
[4] Chiang, R. and Fong, W.M. (2001) Relative Informational Efficiency of Cash, Futures, and Options Markets: The Case of an Emerging Market. Journal of Banking & Finance, 25, 355-375.
https://doi.org/10.1016/S0378-4266(99)00127-2
[5] Jian, Y., Yang, Z. and Zhou, Y. (2012) Intraday Price Discovery and Volatility Transmission in Stock Index and Stock Index Futures Markets: Evidence from China. Journal of Futures Markets, 32, 99-121.
https://doi.org/10.1002/fut.20514
[6] Koutmos, G. and Tucker, M. (1996) Temporal Relationships and Dynamic Interactions between Spot and Futures Stock Markets. Journal of Futures Markets, 16, 55-69.
https://doi.org/10.1002/(SICI)1096-9934(199602)16:1<55::AID-FUT3>3.0.CO;2-G
[7] So, R.W. and Tse, Y. (2004) Price Discovery in the Hangseng Index Markets: Index, Futures, and the Tracker Fund. Journal of Futures Markets, 24, 887-907.
https://doi.org/10.1002/fut.20112
[8] 严敏, 巴曙松, 吴博. 我国股指期货市场的价格发现与波动溢出效应[J]. 系统工程, 2009(10): 32-38.
[9] 乔高秀, 刘强. 沪深300股指期货与现货市场价格波动与波动溢出效应——基于十五个月高频数据的实证研究[J]. 投资研究, 2012(8): 132-144.
[10] 左浩苗, 刘振涛, 曾海为. 基于高频数据的股指期货与现货市场波动溢出和信息传导研究[J]. 金融研究, 2012(4): 140-154.
[11] 陶利斌, 潘婉彬, 黄筠哲. 沪深300股指期货价格发现能力的变化及其决定因素[J]. 金融研究, 2014(4): 128-142.
[12] Hirakia, T. (1995) The Information Content of End-of-the-Day Index Futures Returns: International Evidence from the Osaka Nikkei 225 Futures Contract. Journal of Banking & Finance, 19, 921-936.
https://doi.org/10.1016/0378-4266(94)00064-A
[13] Cheng, L.T.W., Li, J. and Ng, R.W.Y. (2004) Information Content of Extended Trading for Index Futures. Journal of Futures Markets, 24, 861-886.
https://doi.org/10.1002/fut.20110
[14] Chan, Y.C. (2005) Who Trades in the Stock Index Futures Market when the Underlying Cash Market is not Trading?. Pacific-Basin Finance Journal, 13, 547-561.
https://doi.org/10.1016/j.pacfin.2005.03.001
[15] Taylor, N. (2007) A Note on the Importance of Overnight Information in Risk Management Models. Journal of Banking & Finance, 31, 161-180.
https://doi.org/10.1016/j.jbankfin.2006.01.004
[16] Tsiakas, I. (2008) Overnight Information and Stochastic Volatility: A Study of European and US Stock Exchanges. Journal of Banking and Finance, 32, 251-268.
https://doi.org/10.1016/j.jbankfin.2007.03.008
[17] Chen, C.N. (2013) The Predictability of Opening Returns for the Returns of the Trading Day: Evidence from Taiwan Futures Market. International Review of Economics & Finance, 25, 272-281.
https://doi.org/10.1016/j.iref.2012.07.012
[18] 丁振. 股指期货“15分钟效应”的实证研究[J]. 经济师, 2009(4): 97-98.
[19] 刘庆富, 华仁海. 中国股指期货与股票现货市场的日内信息结构研究——基于交易和非交易时段的视角[J]. 复旦学报(社会科学版), 2012, 54(3): 10-19.
[20] 闫海峰, 董琦. 股指期货的扩展“15分钟”交易影响分析[J]. 数理统计与管理, 2012, 31(6): 1110-1116.
[21] 程展兴, 剡亮亮. 非同步交易、信息传导与市场效率——基于我国股指期货与现货的研究[J]. 金融研究, 2013(11): 154-166.
[22] 华仁海, 袁立, 鲍锋. 沪深300股指期货在现货交易和非交易时段交易特征的比较研究[J]. 数量经济技术经济研究, 2015(1): 146-158.
[23] 杨娇辉, 王曦. 市场分割下东北亚货币的跨货币溢出效应与汇率预测[J]. 国际金融研究, 2013(5): 32-48.
[24] Kroner, K.F. and Ng, V.K. (1998) Modeling Asymmetric Comovements of Asset Returns. Review of Financial Studies, 11, 817-844.
https://doi.org/10.1093/rfs/11.4.817
[25] Glosten, L.R., Jagannathan, R. and Runkle, D.E. (1993) On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance, 48, 1779-1801.
https://doi.org/10.1111/j.1540-6261.1993.tb05128.x
[26] 周先平, 李标, 沈国旭. 股指期货该为2015年股灾负责吗——基于方向性波动溢出模型的实证分析[J]. 金融, 2017, 7(2): 98-110.