我国场外交易市场羊群行为的实证研究——基于GARCH模型

羊群行为现象是金融研究者关注的热点话题。通过建立GARCH模型,以我国代办股份转让市场和台湾兴柜股票市场为研究对象,对2009年至2012年我国场外交易市场羊群行为进行实证分析。研究表明:我国代办股份转让市场存在较弱的羊群行为现象,台湾兴柜股票市场不存在羊群行为现象;我国代办股份转让市场羊群行为在股市下跌阶段比上涨阶段表现明显;我国代办股份转让市场不明显的羊群行为现象由该市场下跌阶段较强的羊群行为导致。     

经济政策不确定性与信息不对称对羊群行为的影响

基于沪深300指数成分股的数据,运用CCK模型对羊群行为进行测度。实证结果表明,2020年以前的市场交易中不存在较为明显的羊群行为。但此后尤其是行情下跌的交易日中,羊群行为比较明显。进一步的研究表明,随着经济政策不确定性和信息不对称水平的提高,羊群行为随之增加。     

次贷危机后的A股市场投资者行为与市场表现分析

资本市场受人们的乐观贪婪心理影响容易形成泡沫,而在恐惧悲观心理的影响下泡沫又会破灭,市场当中新加入的投资者通常市场专业知识不足,缺乏交易经验,因此极大地增加了股票市场当中的非理性因素。众所周知,我国股票市场当中机构投资者同成熟市场相比比例并不高,由此造成的非理性因素也较大。本文通过选取A股新增账户数以及换手率作为投资者心理因素的代理变量,通过建立VAR模型进行Granger检验分析得出结论:不理性的投资行为,如羊群行为和过度投机对A股市场的走势产生了影响,加剧了A股市场的波动。鉴于此,我国股市应在培育理性市场方面做出更大的努力。     

市场行情影响投资者的股利偏好吗?

基于2005-2017年A股上市公司的数据,研究了在不同的市场行情中,投资者对于股利政策的偏好差别。研究发现：对于现金股利而言,在上涨和下跌的市场行情中,投资者更偏好不发放现金股利的上市公司;在平稳行情中,投资者更偏好发放现金股利的上市公司。对于股票股利而言,在上涨行情中,投资者更偏好发放股票股利的上市公司;在下跌行情中,投资者更偏好不发放股票股利的上市公司;在平稳行情中,投资者对于是否发放股票股利没有显著的偏好差异。在上涨和下跌的市场行情中,超能力派现和高送转不会改变投资者的偏好;在平稳行情中,只有正常派现和正常送转才能赢得投资者的青睐,超能力派现行为无益于上市公司,高送转还会损害公司价值。     

中国股市涨跌停板对投资者交易行为的影响

利用A股市场的日内高频数据,研究我国股市涨跌停板制度是否存在"磁吸效应",从而判断涨跌停板的存在是否会影响投资者在面临个股较大涨跌幅时的交易行为.研究结果表明:一,我国A股市场涨跌停板的设定并不会导致投资者流动性风险的增加;二、投资者观察到股价大幅波动时会比较谨慎,涨跌停板的存在抑制了股价波动的进一步增大;三,临近收盘时,如果股价已下跌了较大的幅度,投资者的损失规避交易会造成股价的继续下跌.     

短期羊群行为的影响因素与价格效应——基于高频数据的实证检验

通过创新性地使用日内高频交易数据对A股市场中的羊群行为进行研究,本文发现:(1)羊群行为具有短期脆弱性特征,随着度量频率的提高,羊群行为的程度严格递增。(2)信息不对称程度、机构投资者比例、股票规模等因素,会显著影响短期羊群行为程度。(3)短期羊群行为会伴随着明显的价格反转:短期买入(卖出)羊群行为后,股票的超额收益显著为负(正),并且短期羊群行为越显著,价格反转的程度越大。(4)价格反转效应存在不对称性:规模越大、交易越活跃的股票,短期买入羊群行为的价格反转越明显,而短期卖出羊群行为的价格反转越不明显。     

2021投资主线的变与不变

每到新年伊始,投资者考虑最多的,往往就是对新一年的投资布局问题,而这又不可避免地需要先研究投资主线. 近两年来,A股市场总体上呈现出结构性行情的特点,虽然综合指数也有所上涨,但板块与个股的行情走势极不平衡.2020年,上证综合指数的涨幅约为11％,而所有A股涨幅的中位数只有2％多一点.尽管年内不乏股价翻几番的股票,但1...     

流动性、风险收益与B股市场境外投资者行为

通过对B股市场的流动性、风险及国外投资者的投资动机进行了研究和度量后发现,B股市场对内开放的确加强了它的流动性,但是B股市场波动风险依然高于A股市场,且国外投资者投资B股市场受流动性变化影响不大,因为其他们投资的主要目的不是分散风险而是获取超额预期回报率。因而,在B股市场存废问题在短期内不能解决的情况下,加强B股市场管理,改善市场结构,对国外投资者的投资行为进行合理的监督和引导是完善B股市场的非常重要的举措。     

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。     

投资者的羊群行为分析--风险回避下的BHW模型北大核心CSSCISSCI

本文对传统的Bikhchandani,Hirshleifer和Welch的羊群行为模型(BHW)进行了改进和延伸,研究了风险回避情况下的信息瀑布和投资者的羊群行为。研究发现,当且仅当做出投资决策的投资者比做出不投资决策的投资者多于两个或更多时,投资的信息瀑布发生;当且仅当做出投资决策的投资者比做出不投资决策的投资者少于一个或更多时,不投资的信息瀑布发生,从而导致羊群行为的产生。另外,与风险中性的情况相比较,在风险回避时不投资的信息瀑布发生的概率比较大,而投资的信息瀑布发生的概率比较小。     

Firm specific and macro herding by professional and amateur investors and their effects on market volatility

We find a herding tendency among both amateur and professional investors and conclude that the propensity to herd is lower in the professionals. These results are obtained both when we consider herding into individual stocks and herding into stocks in general. Herding depends on the firm’s systematic risk and size, and the professionals are less sensitive to these variables. The differences between the amateurs and the professionals may be attributable to the latter’s superior financial training. Most of the results are consistent with the theory that herding is information-based. We also find that the herding behavior of the two groups is a persistent phenomenon, and that it is positively and significantly correlated with stock market returns’ volatility. Finally, herding, mainly by amateurs, causes market volatility in the Granger causality sense.     

中国股市羊群效应的区制转移时变性研究

传统研究采用静态CCK模型检验股票市场的羊群效应,但无法描述羊群行为的动态变化以及市场可能受到的外部影响。本文基于中国股市日频交易数据,在静态CCK模型中引入参数的区制转移性质识别股市在不同状态间的转换,并分析中国股市羊群效应和交叉羊群效应的时变特征。研究表明,中国股市运行周期可被划分为两个区制,分别呈现低波动和高波动的行情特征;羊群效应的程度随区制转移而变化,具有区制依存性。其中,沪深股市在高(低)波动区制中,羊群效应更强(弱),相应区制持续时间较短(长);中国台湾股市仅在高波动区制中出现羊群效应,相应区制持续时间较短;中国香港股市无论在低波动区制或是高波动区制中,均不存在羊群效应。此外,沪深A股在低波动区制中对美国股市和中国香港股市存在交叉羊群效应。     

Herding behavior in the Pakistan stock exchange: Some new insights

This study attempts to examine the presence of herding behavior in the Pakistan Stock Exchange (PSX). The novel contribution of this paper is that it investigates the herding phenomenon from a large number of facets such as herding of firms towards market, herding of firms towards industry portfolios, herding of industry portfolios towards market, herding in mostly traded stocks and in large and small stocks, and herding in the crisis period. For this purpose, we use the herding behavior model of Christie and Huang (1995) on the daily closing prices data of 609 firms listed on the PSX from January 2004 to December 2013. Results show that individual firms do not herd towards market index, except when the market experiences a negative return of 5%. However, when we sort firms into small and large groups based on median market capitalization, results indicate that large firms show herding behavior in extreme market movements. Further, we find that firms in several industries herd towards their industry portfolios. However, we find weak evidence of industry portfolios herding towards the market. We also segregate the impact of financial crisis of 2008 from normal times. These findings support results of our baseline estimation.     

Herding in analyst earnings forecasts: evidence from the United Kingdom

We present an empirical analysis of herding behavior in analyst forecasts of earnings-per-share. Herding is defined as 'excessive agreement' among analyst predictions, i.e., a surprising degree of consensus relative to the predictability of corporate earnings. The data are for U.K. companies between 1986 and 1997. We examine the effects of forecast horizon and analyst coverage on forecast accuracy and dispersion. The evidence supports overoptimism, overreaction, and herding in analyst forecasts.
G1, G14     

Analysis of intraday herding behavior among the sector ETFs

A body of literature has emerged suggesting that investors herd, or tend to make investment decisions on the basis of information provided by the trades of other market participants. In this paper, we use intraday data to examine whether traders herd during periods of extreme market movements using sector Exchange Traded Funds (ETFs). Two procedures, one based on identifying extreme up market and down market periods and the other based on incorporating a nonlinear term in a regression specification, are used to identify the possibility of the existence of herding behavior in nine sector ETFs traded on the American Stock Exchange. The results support the conclusion that investors do not herd during periods of extreme market movements using ETFs. Furthermore, we show that the market reaction to news is not symmetric for up markets and down markets.     

Investors’ Fear and Herding Behavior: Evidence from the Taiwan Stock Market

This article analyzes the influence of investors’ fear on their investment behavior in the Taiwan stock market. This study used the volatility index (VIX) as a barometer of investors’ fear. Our results show that herding behavior increases with the VIX; that is, herding behavior is encouraged by an increase in investors’ fear. Moreover, our results demonstrate that investors react more quickly to bad news than to good news when their fear increases, supporting the hypothesis of the presence of an asymmetric reaction to news. However, investors react more quickly to good news when their fear decreases, indicating an inverse asymmetric reaction. In addition, our empirical results reveal that herding behavior tends to exist on days with a large trading volume.     

Causes and consequences of short-term institutional herding

This paper provides new evidence on the causes and consequences of herding by institutional investors. Using a comprehensive database of every transaction made by financial institutions in the German stock market, we show that institutions exhibit herding behavior on a daily basis. Herding intensity depends on stock characteristics including past returns and volatility. Return reversals indicate a destabilizing impact of herds on stock prices in the short term. Results from panel regressions suggest that herding is mainly unintentional and partly driven by the use of similar risk models. Our findings confirm the importance of macro-prudential aspects for banking regulation.     

Herding behavior in REITs: Novel tests and the role of financial crisis

This study examines the existence of herding effects in the US REIT market, constructing a survivorship-bias-free dataset of daily returns during the period January 2004–December 2011. Apart from documenting the existence of herding behavior by conducting comprehensive tests, we also explore new channels through which this may be intensified. Deterioration of investors' sentiment and adverse macro-shocks to REIT funding conditions are found to be significantly related to the emergence of herding behavior. Contrary to common belief, however, the recent financial crisis did not seem to contribute to this phenomenon. Finally, asymmetric herding effects are documented during the days of negative market returns.     

Herd behavior in the Japanese loan market: Evidence from bank panel data

This paper investigates whether Japanese banks had been following herd behavior in the domestic loan market from 1975 through 2000. Applying the technique developed by Lakonishok, Shleifer, and Vishny [Lakonishok, J., Shleifer, A., Vishny, R.V., 1992. The impact of institutional trading on stock prices, J. Finan. Econ. 32, 23–43] to the data from loans outstanding to different types of borrowers, we obtain evidence indicative of the existence of herding. City banks in Japan had been following a cyclical pattern of herding with one of the peaks around the bubble period in the late 1980s. Adjusting further for herding resulting from rational behavior, evidence indicative of the existence of irrational herding was observed only in the bubble period. Our estimate indicates that a total of some 5 trillion yen of loan increase by city banks during the period of 1987–1989 can be attributed to irrational herd behavior. The results imply that irrational bank behavior in the late 1980s might have contributed to the problems Japanese banks had with non-performing loans. We also obtained evidence for herding among regional banks and among geographically proximate banks.     

Dynamic herding analysis in a frontier market

We use constant coefficient and time-varying parameter approaches to examine herding in the context of a frontier market. Our sample comprises of all companies listed on the Trinidad and Tobago Stock Exchange from January 2001 to December 2014. We find significant evidence of herding across the market, which is more prominent for smaller stocks. Microstructures, including liquidity and volatility, intensify herd behavior, except for larger firms. Additional analyses show that herding is present in both up and down markets, but is stronger during rising markets. The time-varying analysis, based on a state-space Kalman filter, further establishes that herding, though quite prevalent, is not a static feature of the market but evolves throughout the sample period. Specifically, it oscillates between greater herding to anti-herd behavior, as investors identify themselves with crises and better information access respectively.