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
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
查看参考文献54篇
文摘
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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. |
其他语种文摘
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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. |
来源
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系统工程理论与实践
,2021,41(9):2239-2255 【核心库】
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DOI
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10.12011/SETP2020-1958
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关键词
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多空对决
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投资者异质性
;
隔夜收益
;
高开低走
;
市场异象
;
错误定价
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地址
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中央财经大学金融学院, 北京, 100081
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1000-6788 |
学科
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社会科学总论 |
基金
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国家自然科学基金面上项目
;
中央财经大学“青年英才”培育支持计划项目
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文献收藏号
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CSCD:7066956
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参考文献 共
54
共3页
|
1.
Nartea G V. Do extreme returns matter in emerging markets? Evidence from the Chinese stock market.
Journal of Banking & Finance,2017,76(3):189-197
|
CSCD被引
5
次
|
|
|
|
2.
Miller E M. Explaining intra-day and overnight price behavior.
Journal of Portfolio Management,1989,15(4):10-16
|
CSCD被引
1
次
|
|
|
|
3.
Barclay M J. Price discovery and trading after hours.
Review of Financial Studies,2003,16(4):1041-1073
|
CSCD被引
2
次
|
|
|
|
4.
Berkman H. Paying attention: Overnight returns and the hidden cost of buying at the open.
Journal of Financial & Quantitative Analysis,2012,47(4):715-741
|
CSCD被引
2
次
|
|
|
|
5.
Branch B S. Overnight return, the invisible hand behind intraday returns?.
Journal of Applied Finance,2012,22(2):90-100
|
CSCD被引
1
次
|
|
|
|
6.
Lou D. A tug of war: Overnight versus intraday expected returns.
Journal of Financial Economics,2019,134(1):192-213
|
CSCD被引
4
次
|
|
|
|
7.
Akbas F.
Overnight returns, daytime reversals, and future stock returns,2020
|
CSCD被引
1
次
|
|
|
|
8.
Liu J. Size and value in China.
Journal of Financial Economics,2019,134(1):48-69
|
CSCD被引
40
次
|
|
|
|
9.
罗进辉. 中国资本市场低价股的溢价之谜.
金融研究,2017(1):191-206
|
CSCD被引
2
次
|
|
|
|
10.
Zeng Y. Institutional investors: Arbitrageurs or rational trend chasers.
International Review of Financial Analysis,2016,45:240-262
|
CSCD被引
1
次
|
|
|
|
11.
Boubaker S. Does institutional investor horizon influence US corporate financing decisions.
International Review of Financial Analysis,2019,63:382-394
|
CSCD被引
1
次
|
|
|
|
12.
Zhang T.
Trading opportunities and the portfolio choices of institutional investors,2019
|
CSCD被引
1
次
|
|
|
|
13.
刘京军. 机构投资者:长期投资者还是短期机会主义者?.
金融研究,2012(9):141-154
|
CSCD被引
13
次
|
|
|
|
14.
田澍. 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.
金融研究,2012(8):139-151
|
CSCD被引
1
次
|
|
|
|
15.
Korkeamaki T. Learning Chinese? The changing investment behavior of foreign institutions in the Chinese stock market.
International Review of Financial Analysis,2019,64:190-203
|
CSCD被引
1
次
|
|
|
|
16.
Hsieh S F. Individual and institutional herding and the impact on stock returns: Evidence from Taiwan stock market.
International Review of Financial Analysis,2013,29:175-188
|
CSCD被引
2
次
|
|
|
|
17.
Ng L K. The trading behavior of institutions and individuals in Chinese equity markets.
Journal of Banking & Finance,2007,31(9):2695-2710
|
CSCD被引
5
次
|
|
|
|
18.
徐浩峰. 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.
金融研究,2012(3):180-190,192,191
|
CSCD被引
7
次
|
|
|
|
19.
Loncan T. Foreign institutional ownership and corporate cash holdings: Evidence from emerging economies.
International Review of Financial Analysis,2018
|
CSCD被引
1
次
|
|
|
|
20.
Yin C. Motivated monitoring: The importance of the institutional investment horizon.
International Review of Financial Analysis,2018,60:197-212
|
CSCD被引
1
次
|
|
|
|
|