异质投资者角力能够预测未来股价吗?——中国A股市场“高开低走”异象研究

尹力博, 马枭

系统工程理论与实践 ›› 2021, Vol. 41 ›› Issue (9) : 2239-2255.

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系统工程理论与实践 ›› 2021, Vol. 41 ›› Issue (9) : 2239-2255. DOI: 10.12011/SETP2020-1958
论文

异质投资者角力能够预测未来股价吗?——中国A股市场“高开低走”异象研究

    尹力博, 马枭
作者信息 +

Can the tug of war between heterogeneous investors predict stock returns? The anomaly of “positive overnight returns followed by negative daytime reversals” in Chinese A-share market

    YIN Libo, MA Xiao
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摘要

A股市场的交易机制和投资者结构与发达国家成熟市场存在差异,是否存在类似于美股的由异质投资者角力所导致的市场异象成为学界与业界共同关心的问题.本文从异质投资者之间多空对决视角出发,基于隔夜收益与日间收益分解,探讨了股票日内收益反转(高开低走或低开高走)的频繁程度是否对股票未来收益具有预测能力.实证结果表明:中国A股市场存在显著的“高开低走”异象,持续期可达6个月,但不存在“低开高走”异象;“高开低走”异象在小市值、高成长的“魅力股”上尤为明显,且市场情绪、博彩偏好、套利限制等因素引发的错误定价有助于解释异象成因.本文的研究结果不仅提供了关于中国A股市场异象的新的经验证据,也对降低异象影响、优化市场效率、提升监管效能等具有重要的实践意义.

Abstract

The trading mechanism and investor structure of the Chinese A-share market are different from those of mature markets in developed countries. Whether there exists an anomaly caused by the tug of war between heterogeneous investors, similar to the US stock market, has become a common concern of both academic and industry. Based on the assumption of investor heterogeneity, this paper empirically examines whether the monthly intensity of the daily tug of war between individual investors and institutional investors can predict future stock returns. We decompose daily stock returns into an overnight component and a daytime component, and construct two measures of the intensity of this tug of war for a given stock by computing the abnormal frequency of daily reversals in a month that are characterized by either high or low opening prices, namely "positive overnight returns followed by negative daytime reversals" or "negative overnight returns followed by positive daytime reversals". We then examine whether either of these two measures contains predictive information about future stock returns. The main findings are as follows. There exists a significant anomaly of "positive overnight returns followed by negative daytime reversals" in the Chinese A-share market, for at least 6 months. In contrast, we find little evidence of such predictive relation when there is a high frequency of negative overnight returns followed by positive daytime reversals. It is more significant in the firms exhibiting smaller market capitalizations and higher PE ratios, in line with the characteristics of "glamour stocks". We find that investor sentiment, gambling preference and the limits of arbitrage are the main sources of the irrational mispricing in the above anomaly. Our analysis contributes to the research on the anomalies in the Chinese A-share market and provides new empirical evidence. Moreover, it has important practical significance in reducing the impact of anomalies, as well as improving market efficiency and regulatory effectiveness.

关键词

多空对决 / 投资者异质性 / 隔夜收益 / 高开低走 / 市场异象 / 错误定价

Key words

tug of war / investor heterogeneity / overnight returns / negative daytime reversals / anomalies / mispricing

引用本文

导出引用
尹力博 , 马枭. 异质投资者角力能够预测未来股价吗?——中国A股市场“高开低走”异象研究. 系统工程理论与实践, 2021, 41(9): 2239-2255 https://doi.org/10.12011/SETP2020-1958
YIN Libo , MA Xiao. Can the tug of war between heterogeneous investors predict stock returns? The anomaly of “positive overnight returns followed by negative daytime reversals” in Chinese A-share market. Systems Engineering - Theory & Practice, 2021, 41(9): 2239-2255 https://doi.org/10.12011/SETP2020-1958
中图分类号: F830.91   

参考文献

[1] Nartea G V, Kong D, Wu J. Do extreme returns matter in emerging markets? Evidence from the Chinese stock market[J]. Journal of Banking & Finance, 2017, 76(3):189-197.
[2] Miller E M. Explaining intra-day and overnight price behavior[J]. Journal of Portfolio Management, 1989, 15(4):10-16.
[3] Barclay M J, Hendershott T. Price discovery and trading after hours[J]. Review of Financial Studies, 2003, 16(4):1041-1073.
[4] Berkman H, Koch P D, Tuttle L, et al. Paying attention:Overnight returns and the hidden cost of buying at the open[J]. Journal of Financial & Quantitative Analysis, 2012, 47(4):715-741.
[5] Branch B S, Ma A. Overnight return, the invisible hand behind intraday returns?[J]. Journal of Applied Finance, 2012, 22(2):90-100.
[6] Lou D, Polk C, Skouras S. A tug of war:Overnight versus intraday expected returns[J]. Journal of Financial Economics, 2019, 134(1):192-213.
[7] Akbas F, Boehmer E, Jiang C, et al. Overnight returns, daytime reversals, and future stock returns[DB/OL]. SSRN, 2020. http://dx.doi.org/10.2139/ssrn.3324880.
[8] Liu J, Stambaugh R F, Yuan Y. Size and value in China[J]. Journal of Financial Economics, 2019, 134(1):48-69.
[9] 罗进辉, 向元高, 金思静. 中国资本市场低价股的溢价之谜[J]. 金融研究, 2017(1):191-206.Luo J H, Xiang Y G, Jin S J. The puzzle of low price premium effect:Evidence from China[J]. Journal of Financial Research, 2017(1):191-206.
[10] Zeng Y. Institutional investors:Arbitrageurs or rational trend chasers[J]. International Review of Financial Analysis, 2016, 45:240-262.
[11] Boubaker S, Chourou L, Saadi S, et al. Does institutional investor horizon influence US corporate financing decisions[J]. International Review of Financial Analysis, 2019, 63:382-394.
[12] Zhang T. Trading opportunities and the portfolio choices of institutional investors[DB/OL]. SSRN, 2019.http://doi.org/10.2139/ssrn.3444673.
[13] 刘京军, 徐浩萍. 机构投资者:长期投资者还是短期机会主义者?[J]. 金融研究, 2012(9):141-154.Liu J J, Xu H P. Institutional investors:Long-term investors or short-term opportunists?[J]. Journal of Financial Research, 2012(9):141-154.
[14] 田澍, 林树, 俞乔. 新兴市场环境下机构投资者投资行为——基于中国大陆资本市场的研究[J].金融研究, 2012(8):139-151.Tian S, Lin S, Yu Q. Investment behavior of institutional investors in the environment of emerging markets-Based on the Chinese mainland capital market[J]. Journal of Financial Research, 2012(8):139-151.
[15] Korkeamäki T, Virk N, Wang H, et al. Learning Chinese? The changing investment behavior of foreign institutions in the Chinese stock market[J]. International Review of Financial Analysis, 2019, 64:190-203.
[16] Hsieh S F. Individual and institutional herding and the impact on stock returns:Evidence from Taiwan stock market[J]. International Review of Financial Analysis, 2013, 29:175-188.
[17] Ng L K, Wu F. The trading behavior of institutions and individuals in Chinese equity markets[J]. Journal of Banking & Finance, 2007, 31(9):2695-2710.
[18] 徐浩峰, 侯宇. 信息透明度与散户的交易选择——基于深圳交易所上市公司的实证研究[J]. 金融研究, 2012(3):180-190+192+191.Xu H F, Hou Y. Information transparency and transaction choice of retail investors:An empirical study on listed companies in Shenzhen stock exchange[J]. Journal of Financial Research, 2012(3):180-190+192+191.
[19] Loncan T. Foreign institutional ownership and corporate cash holdings:Evidence from emerging economies[J]. International Review of Financial Analysis, 2018. http://doi.org/10.1016/j.irfa.2018.12.003.
[20] Yin C, Ward C, Tsolacos S. Motivated monitoring:The importance of the institutional investment horizon[J]. International Review of Financial Analysis, 2018, 60:197-212.
[21] Kałdoński M, Jewartowski T, Mizerka J. Capital market pressure, real earnings management, and institutional ownership stability-Evidence from Poland[J]. International Review of Financial Analysis, 2019. http://doi.org/10.1016/j.irfa.2019.01.009.
[22] 高昊宇, 杨晓光, 叶彦艺. 机构投资者对暴涨暴跌的抑制作用:基于中国市场的实证[J]. 金融研究, 2017(2):163-178.Gao H Y, Yang X G, Ye Y Y. Institutional ownership and extreme price movements:Evidence from Chinese markets[J]. Journal of Financial Research, 2017(2):163-178.
[23] 钟覃琳, 陆正飞. 资本市场开放能提高股价信息含量吗?——基于"沪港通" 效应的实证检验[J]. 管理世界, 2018, 34(1):169-179.Zhong Q L, Lu Z F. Can the opening of capital market improve the information content of stock price? An empirical study on the effect of "Shanghai-Hong Kong stock connect program"[J]. Management World, 2018, 34(1):169-179.
[24] Campbell J Y, Kyle A S. Smart money, noise trading and stock price behavior[J]. The Review of Economic Studies, 1993, 60(1):1-34.
[25] Cochrane J H. Macro-finance[J]. Review of Finance, 2017, 21(3):945-985.
[26] Harrison J M, Kreps D M. Speculative investor behavior in a stock market with heterogeneous expectations[J]. Quarterly Journal of Economics, 1978, 92(2):323-336.
[27] Chan Y L, Kogan L. Catching up with the joneses:Heterogeneous preferences and the dynamics of asset prices[J]. Journal of Political Economy, 2002, 110(6):1255-1285.
[28] Gârleanu N, Panageas S. Young, old, conservative, and bold:The implications of heterogeneity and finite lives for asset pricing[J]. Journal of Political Economy, 2015, 123(3):670-685.
[29] De Long J B, Shleifer A, Summers L H, et al. Noise trader risk in financial markets[J]. Journal of Political Economy, 1990, 98(4):703-738.
[30] Lou D, Polk C, Skouras S. Forecasting the equity premium with the overnight-intraday tug of war[R]. Working Paper, 2019. http://personal.lse.ac.uk/polk/research/TOW&TheEquityPremium.pdf.
[31] Qiao K, Dam L. The overnight return puzzle and the "T+1" trading rule in Chinese stock markets[J]. Journal of Financial Markets, 2020. http://doi.org/10.1016/j.finmar.2020.100534.
[32] 刘清源, 魏先华, 王霦. 动量策略收益主要来源于隔夜?——基于沪市A股动量策略收益分解的探讨[J]. 投资研究, 2016, 35(3):92-104.Liu Q Y, Wei X H, Wang B. Is the return of momentum strategy mainly from overnight? Based on the return decomposition in Shanghai A-share market[J]. Review of Investment Study, 2016, 35(3):92-104.
[33] 陈国进, 胥爱欢, 赵向琴. 信息市场、预期消费与资产收益——基于投资者的信息选择行为[J]. 系统工程理论与实践, 2012, 32(3):597-607.Chen G J, Xu A H, Zhao X Q. Information market, expect consumption and asset return-Based on the behaviors of investors' choosing information[J]. Systems Engineering-Theory & Practice, 2012, 32(3):597-607.
[34] 刘燕, 朱宏泉. 个体与机构投资者, 谁左右A股股价变化?——基于投资者异质信念的视角[J]. 中国管理科学, 2018, 26(4):120-130.Liu Y, Zhu H Q. Individual investor or institutional investor, Who dominates asset pricing in Chinese A-share stock market?[J]. Chinese Journal of Management Science, 2018, 26(4):120-130.
[35] 张涤新, 屈永哲. 机构投资者持股持续性对我国上市公司业绩及风险的影响研究[J].系统工程理论与实践, 2018, 38(2):273-286.Zhang D X, Qu Y Z. The impact of institutional ownership persistence on listed firms' performance and risk[J]. Systems Engineering-Theory & Practice, 2018, 38(2):273-286.
[36] 刘欢, 李志生, 孔东民. 机构持股与上市公司信息披露质量——基于主动型和被动型基金影响差异的视角[J]. 系统工程理论与实践, 2020, 40(6):1520-1532.Liu H, Li Z S, Kong D M. Active funds vs. passive funds:The effects of institutional ownership on corporate information disclosure[J]. Systems Engineering-Theory & Practice, 2020, 40(6):1520-1532.
[37] 梁丽珍, 孔东民. 中国股市的日内特征:持续还是反转?[J]. 管理评论, 2008(6):9-16+63.Liang L Z, Kong D M. Features of the intraday behavior in Chinese stock market:Momentum or contrarian?[J]. Management Review, 2008(6):9-16+63.
[38] Gao Y, Han X, Li Y, et al. Overnight momentum, informational shocks, and late-informed trading in China[J]. International Review of Financial Analysis, 2019, 66:101394. http://doi.org/10.1016/j.irfa.2019.101394.
[39] 刘庆富, 张金清. 中国商品期货隔夜信息对日间交易的预测能力[J]. 管理科学学报, 2013, 16(11):81-94.Liu Q F, Zhang J Q. Forecasting ability of overnight information on daytime trading in Chinese commodity futures markets[J]. Journal of Management Sciences in China, 2013, 16(11):81-94.
[40] Yin L, Liao H. Firm's quality increases and the cross-section of stock returns:Evidence from China[J]. International Review of Economics & Finance, 2020, 66:228-243.
[41] Hung W, Yang J J. The MAX effect:Lottery stocks with price limits and limits to arbitrage[J]. Journal of Financial Markets, 2018, 41:77-91.
[42] Amihud Y. Illiquidity and stock returns:Cross-section and time-series effects[J]. Journal of Financial Markets, 2002, 5(1):31-56.
[43] Jegadeesh N. Evidence of predictable behavior of security returns[J]. The Journal of Finance, 1990, 45(3):881-898.
[44] 余宇新, 杨大楷. 通过市场波动的新信息含量检验股权分置改革对我国市场有效性影响[J]. 管理工程学报, 2010, 24(3):123-131.Yu Y X, Yang D K. Testing non-tradable share reform's impacts to the effectiveness of the stock market by observating changes of the new information content in the market fluctuations[J]. Journal of Industrial Engineering and Engineering Management, 2010, 24(3):123-131.
[45] 尹力博, 廖辉毅. 中国A股市场存在品质溢价吗?[J]. 金融研究, 2019(10):170-187.Yin L B, Liao H Y. Is there a quality premium in the Chinese A-share market[J]. Journal of Financial Research, 2019(10):170-187.
[46] 石善冲, 朱颖楠, 赵志刚, 等. 基于微信文本挖掘的投资者情绪与股票市场表现[J]. 系统工程理论与实践, 2018, 38(6):1404-1412.Shi S C, Zhu Y N, Zhao Z G, et al. The investor sentiment mined from WeChat text and stock market performance[J]. Systems Engineering-Theory & Practice, 2018, 38(6):1404-1412.
[47] 史永东, 程航. 投资者情绪和资产定价异象[J]. 系统工程理论与实践, 2019, 39(8):1907-1916.Shi Y D, Cheng H. Investor sentiment and asset pricing anomaly[J]. Systems Engineering-Theory & Practice, 2019, 39(8):1907-1916.
[48] Baker M P, Wurgler J. Investor sentiment and the cross-section of stock returns[J]. The Journal of Finance, 2006, 61(4):1645-1680.
[49] 伍燕然, 潘可, 胡松明, 等. 行业分析师盈利预测偏差的新解释[J]. 经济研究, 2012, 47(4):149-160.Wu Y R, Pan K, Hu S M, et al. A new explanation of industry analyst earnings forecast bias[J]. Economic Research Journal, 2012, 47(4):149-160.
[50] Akbas F, Jiang C, Koch P D. The trend in firm profitability and the cross-section of stock returns[J]. The Accounting Review, 2017, 92(5):1-32.
[51] Bali T G, Cakici N, Whitelaw R F. Maxing out:Stocks as lotteries and the cross-section of expected returns[J]. Journal of Financial Economics, 2011, 99(2):427-446.
[52] 朱红兵, 张兵. 价值性投资还是博彩性投机?——中国A股市场的MAX异象研究[J]. 金融研究, 2020(2):167-187.Zhu H B, Zhang B. Investment or gambling? The MAX anomaly in China's A-share stock market[J]. Journal of Financial Research, 2020(2):167-187.
[53] Chan L K C, Jegadeesh N, Lakonishok J. Momentum strategies[J]. The Journal of Finance, 1996, 51(5):1681-1713.
[54] 张然, 汪荣飞, 王胜华. 分析师修正信息、基本面分析与未来股票收益[J]. 金融研究, 2017(7):156-174.Zhang R, Wang R F, Wang S H. Analysts' revisions, fundamental analysis and future stock returns[J]. Journal of Financial Research, 2017(7):156-174.

基金

国家自然科学基金面上项目(71671193);中央财经大学“青年英才”培育支持计划项目(QYP1901)
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