机构投资者对资本市场效率的影响

伴随着资本市场的发展,机构投资者对资本市场的影响越来越重要。因此文章首先介绍对机构投资者和资本市场的认识,在不同的假设条件下,从资本市场定价效率、资源配置效率和运行效率三个方面分析机构对资本市场的影响。     

高管侵占型职务犯罪、机构投资者与市场反应——来自中国上市公司的经验证据

随着经济体制改革的深入,频繁发生的高管侵占型职务犯罪已成为影响经济社会健康发展的重要问题。本文运用中国上市公司高管侵占型职务犯罪数据,实证检验了高管侵占型职务犯罪所引发的市场反应。研究结果发现,高管侵占型职务犯罪会引发显著负向的市场反应。进一步的研究发现,只有机构投资者持股较高公司的高管侵占型职务犯罪才会引发显著负向的市场反应。本文的研究对于当前理论界和实务界充分认识高管侵占型职务犯罪的经济后果提供了经验证据,也对于重新认识机构投资者之于资本市场的作用提供了新的视角。     

论我国机构投资者的培育和资本市场发展

机构投资者作为发达国家资本市场的中坚力量,对促进资本市场的发展发挥了巨大作用。与国外相比,中国的机构投资者发展水平还比较低,在规模和结构上还与发达国家有较大差距,从而导致资本市场过度投机等诸多问题,阻碍了资本市场的进一步发展。要促进我国资本市场进一步发挥其功能,就必须重视培育机构投资者,通过机构投资者的发展促进资本市场的长足进步,为国民经济健康发展做出贡献。     

中国机构投资者与市场稳定性研究

文章从机构投资者的投资行为出发,检验中国机构投资者是否存在羊群行为和正反馈交易,并且分析检验了在剔除宏观经济影响之后,机构投资者行为对市场稳定性的影响。检验结果表明,机构投资者存在较明显的羊群行为和正反馈交易行为,且羊群行为显著加剧股票波动。最后,针对研究结论本文提出了相应的政策建议。     

机构投资者交易行为特征研究

本文通过研究股票收益变化和机构持股变化之间的关系,发现对于高机构持股股票,过去表现较好的股票会吸引机构增加持仓,且机构增持的股票相对减持的股票的后续表现又更好,而低机构持股股票则不然。这表明机构投资者整体上是采用正反馈即惯性交易策略的,而个体投资者的行为则较为随机。对于缺乏投资经验的个体投资者而言,论文结果意味着他们应当委托机构进行理财如投资于基金。     

中国资本市场机构投资者功能缺位问题研究

本文从投资战略扭曲、机构合谋和内幕交易两个角度分析了机构投资者功能缺位问题。并用有效市场理论解释了机构投资者功能缺位的原因。最后提出相关政策建议。相信本文的研究有助于投资者对机构投资者的本质会有更深刻的了解。     

基于机构投资者视角股价同步性现象研究

本文以2008到2010年深证A股主板404家公司985个面板数据为研究样本,从信息经济学和行为金融学视角分析了"套利交易"和"噪音交易"活动对股价同步性的影响机制,并以此来探讨机构投资者的证券投资行为对股价同步性的影响。实证结果表明:机构投资者基于价值投资的长期持股行为能够显著地提高个股价格的信息含量,从而降低股价同步性;反之,机构投资者基于噪音交易的短期投机行为反映的是与公司基本面无关的价格波动,会加剧证券市场的股价同步性。     

机构投资者的彩票类股票交易行为与股价同步性

文章使用Kumar（2009）提出的低股价、高特质波动率和高特质偏度识别股票的彩票特性,利用2010至2012年A股市场的大样本数据,实证分析了机构投资者的博彩偏好及对股价同步性的影响。结果表明,我国机构投资者存在明显的博彩偏好;且这种博彩偏好会提高股价波动的同步性程度。这一结论从博彩偏好的视角,为机构投资者有限理性造成的股价同步性的存在提供了新的证据。     

The Effect of Investor Sentiment on Feedback Trading and Trading Frequency: Evidence from Taiwan Intraday Data

Abstract

Although extensive literature has suggested that investor sentiment may be one of the most important factors in explaining investor trading frequency and trading strategies, how individual investors are significantly influenced by sentiment remains underexplored. The feature of numerous individual investors in the Taiwan stock market provides an avenue to examine the relationship of investor sentiment to trading frequency and positive-feedback trading according to intraday data. Using a vector autoregression model to measure feedback trading in one-minute intervals, we find that trading frequency appears to increase in periods of rising market, suggesting that investor sentiment–driven trading increases market trading frequency without relying on past experiences to conduct trading behavior.     

Investor Trading Behavior and Sentiment in Futures Markets

This study investigates the effects of investor trading behavior and investor sentiment on futures market return. We find that the spot investor trading behavior, futures investor trading behavior, spot market sentiment, and futures market sentiment all have positive effects on daily futures returns in Chinese financial market. More importantly, we show that the effect of (spot) futures investor trading behavior has better explanatory power than (spot) futures market sentiment on futures returns. Further supporting our results, high investor trading behavior and high investor sentiment strengthen the positive relation between sentiment-returns and behavior-returns.     

Positive Feedback Trading and Investor Sentiment

This article examines how investor sentiment affects positive feedback trading behavior. By analyzing the daily closing total return of CSI 300 index and its individual returns of stocks, we find that relatively high or low sentiment induces active positive feedback trading. With a specific indicator of sentiment, we explain the microstructure setting of the relationship between positive feedback trading and sentiment. We adopt the classical feedback model from Sentana and Wadhwani (1992) to measure positive feedback trading behavior. By adding sentiment factor to the model, we successfully explain how sentiment influences the behavior of both feedback traders and rational investors. The empirical findings suggest that positive feedback traders are more likely to trade when the prices of most securities move forward together. When the sentiment of feedback traders is at an intermediate level, the feedback trading behavior is insignificant.     

Futures Market Sentiment and Institutional Investor Behavior in the Spot Market: The Emerging Market in Taiwan

This paper investigates whether and how futures market sentiment and stock market returns heterogeneously affect the trading activities of institutional investors in the spot market in Taiwan. Our empirical results suggest that foreign investors are net sellers whenever futures market sentiment is bullish and net buyers when investor sentiment is bearish. The two types of domestic institutional investors have poor sentiment timing abilities and the price-pressure effect may account for the behavioral differences among institutional investors. In addition, all three institutional investors are momentum traders. Nevertheless, the momentum trading of foreigners is consistent with an information-based model and that of two local institutional investors, as behavior-based models suggest. This indicates that the same trading momentum strategy can lead to different outcomes for different investors, and both information- and behavior-based momentum trading can exist contemporaneously in the Taiwanese stock market.     

A Study of Large Institutional Investor Trading Behavior Around Leveraged Buyouts

This study analyzes a segment of large institutional investors by focusing on their trading behavior around leveraged buyouts (LBO) during 1984–1992. Over 1,000 LBO-related transactions from the portfolios of the fifty largest life insurance companies in the U.S. form the data sample. The results indicate that large LBOs dominate the portfolios in both number and size of transactions. The average purchase occurs about four months prior to the initial LBO restructuring announcement, and the average disposal occurs about three-quarters into the life of the LBO event. About 25% of the portfolio is liquidated prior to the initial announcement, and only 4% of the purchases result after the initial announcement. Less than 6% of the transactions involve LBOs that are ultimately canceled. Finally, the sample of large institutional investors demonstrate an ability to predict the maximum share price to within 93%, and they earn a premium of about 15% over randomly-selected LBO-related portfolios. Overall, the results indicate that these large institutional investors demonstrated a superior ability in timing their LBO-related transactions.     

融资融券视阈下的投资者情绪与A股收益率波动研究

本文以融资融券市场作为研究目标分析投资者的获利倾向、心理状态、行为决策等因素所反映出的投资者情绪特征对A股收益率波动的影响。采用CR I T I C赋权法,通过计算融资融券中融资余额、融券余额、融资融券交易占比以及融资买入量等多个数据指标构建融资融券投资者情绪指数CRISI。结合A股市场日交易数据,分析研究了融资融券市场中投资者情绪指数和股市收益率波动的相互作用。本文实证结果表明,融资融券投资者情绪指数对A股市场收益率存在正向作用,而A股市场收益率对投资者情绪的影响并不显著。此外,A股市场中股价的“异常涨跌”亦对投资者情绪影响不明显。实证结果反映出我国融资融券市场中投资者情绪与A股市场收益率之间存在一种单向的影响关系,为我国股票市场投资者情绪调查机制与监控系统的建立和完善提供了依据。     

股票市场投资者结构国际比较研究

本文梳理了A股市场与相关国家(地区)股市投资者结构的现状,探讨这些市场投资者结构的演变路径、以及促成这种演变的主要因素。基于境外主要市场投资者结构演变及政策措施的经验教训,本文提出改进A股市场相关制度的六点政策建议:第一,从更宏观的政策层面入手,改进上市公司结构,增厚上市公司利润,以增进A股市场的长期投资价值;第二,着力培育和鼓励大体量资金机构进入股市;第三,有必要继续扩大海外合格机构投资者资金规模;第四,完善金融产品供应,适当放宽交易规则约束,使机构投资者有更多工具和交易方式参与市场交易;第五,在个人投资者方面,监管部门需要适度转变监管理念,进而改进相关交易规则,鼓励个人投资者以合理方式理性参与股市;第六,创新税收激励机制,合理引导个人投资者。     

投资者分歧、异常交易量和股票横截面收益率预测——基于中国股票市场的经验证据

本文定义月度异常交易量为本月与上个月交易金额的比值,发现中国市场月度收益率与滞后一个月的异常交易量显著负相关。在控制了公司规模、账面市值比、流动性以及动量效应等指标后仍然具有显著的解释作用。进一步研究表明,在出现高异常交易量后的12个月内,换手率和特质性波动率都有大幅上升。本文认为,交易量上升代表着市场分歧程度和受关注程度的增加,在卖空约束下会使得股票价值高估,从而造成未来收益率下降。     

Investor Attention and Stock Returns: International Evidence

This article examines the asymmetric/discriminative effects of investor attention on expected stock returns among 15 markets through economic expansions and recessions. The predictive power of attention tends to be short-lived and weakens the autocorrelation within returns. Accounting for business cycles not only confirms that the predictability of attention endures with volatility but also explicates the asymmetric effects that underlying pessimism functions better. International evidence contributes to the literature on investor attention and reveals the discrepant effects of attention with three levels of market efficiency: semi-strong, stronger than semi-strong, and weak.