投资者过度自信对交易量影响的研究

文章基于Odean的收入效应假说和Statman、Thorley模型,对中国股票市场投资者过度自信和交易量进行研究,得出市场收益率会影响交易量,并且在市场上升阶段过度自信的程度要大于市场下降阶段的过度自信程度。     

中国上市公司不同类型股东增持的市场效应

本文实证研究了2008年8月至2012年2月中国上市公司的不同类型股东增持对股价及交易量的影响.结果显示:不论是首次增持还是再次增持,高管增持所引起的市场效应都显著小于控股股东、非控股法人股股东;控股股东与非控股法人股股东在首次增持时,产生了显著的负的异常收益率和正的异常交易量,再次增持时,则产生了显著的正的异常收益率和负的异常交易量.考虑到事件集聚性和风险要素变化的噪声影响,本文还进行了干扰排斥性检验,结果证实,上述结论是相对纯净的.     

涨跌停限制磁性效应加速特征研究——基于中国A股市场高频交易数据挖掘

本文选取中国A股市场1003只股票作为研究对象，运用二次函数模型，通过对考察期内高频数据的挖掘，从收益率和交易量两个层面，分析股票涨跌停前30分钟磁性效应的加速度、加速拐点和加速持续期三个特征。研究发现，收益率和交易量涨跌停前的磁性加速现象显著存在；犬盘股涨停前收益率的加速度与跌停前加速度对称，小盘股收益率涨停前加速度大于跌停前加速度，并且两加速度均大于大盘股；上午涨跌停收益率磁性加速度大于下午涨跌停；上涨过程交易量磁性加速度大于下跌过程；收益率的拐点和加速持续期在同一过程中与交易量的拐点和加速持续期基本一致。     

2014年11月银行间本币市场运行评述

2014年11月,银行间本币市场交易量为29．5万亿元,与上月基本持平,其中债券借贷交易522亿元,创单月交易量历史新高。银行间货币市场先松后紧,短期限品种利率上升;现券市场到期收益率继续走低,信用利差小幅波动;在经济基本面和政策面双重利好作用下,互换利率继续下行。     

郑州商品交易所棉花期货量价波动传导实证研究

基于郑州商品交易所(CZCE)棉花期货市场日交易数据,构建条件均值方程和条件标准波动方程对交易量、持仓量与棉花期货价格波动关系进行了实证研究。研究结果表明:CZCE棉花期货交易量与价格收益率波动之间存在正相关关系,不可预期交易量的变动对期货价格收益率的信息传导效率明显高于可预期交易量。棉花期货持仓量与价格收益率波动之间存在负相关关系,分解后的可预期持仓量对价格收益率波动存在负向影响,但不可预期持仓量对价格收益率不敏感。就交易量和持仓量对比来看,交易量对期货价格收益率波动的影响更明显。分解后的交易量和持仓量可以更显著地刻画其对期货价格收益率波动的影响。     

基于ARCH族模型的中国创业板收益率及交易量与其关系的研究

本文主要研究中国创业板指数收益率以及交易量的关系,通过统计性描述和残差检验发现中国创业板指数收益率存在ARCH效应,即存在波动集群性、异方差性、平稳性、低阶自相关性、非正态性和尖峰厚尾的特点。通过ARCH模型回归发现去势交易量与同期收益率之间存在微弱的正相关性,并且交易量对收益率的波动把关"入市"与"退市"三方面降低创业板的风险。存在影响。当把交易量划分为预期和非预期部分后发现,非预期交易量对收益率以及收益率波动的影响更加显著。基于研究结果我们建议从把握政策调整力度、严格信息披露制度、严格把关"入市"与"退市"三方面降低创业板的风险。     

2014年11月银行间市场运行报告

11月,银行间市场的主要运行特点是：人民币市场资金面维持宽松格局,长期利率继续走低、短期利率升而不高;债券市场交投活跃,国债收益率曲线继续下移;人民币对美元交易汇率月度走弱,对非美货币汇率普遍继续走强,直接交易明显活跃;人民币利率互换收盘曲线整体下移,交易量同比显著增长;外汇衍生品交易连续超越即期,期权交易涨势突出。     

随机交易量对收益率的影响——基于上证指数的研究

本文使用上证指数进行研究,将收益率分为预期收益率与非预期收益率,将交易量分为趋势交易量和随机交易量.利用GARCH模型对收益率进行拟合,利用线性模型对交易量进行拟合.发现收益率和交易量在趋势上存在正相关性,这符合市场上所存在的股价上涨和下跌往往具有惯性的现象,也符合处置效应理论(即股票上涨时持有者急于抛售而下跌时惜售),也体现了我国股票市场上人们的价值观趋同,从而存在"羊群效应",说明投资股票重在"选时".而随机交易量却会带来收益率的下降,这意味着随机交易量会增加股票的风险,使股价低于其实际价值作为风险补偿.     

2022年1月银行间市场运行报告

2022年1月,货币市场资金面整体平稳,货币市场利率涨跌互现;债券市场交易量稳步上升,银行间国债收益率全面下行;利率互换曲线整体下移,交易量有所下降;人民币对美元汇率保持稳定,外汇市场供求总体平衡;人民币外汇掉期曲线趋向平缓,外汇期权波动率小幅下降;外汇市场交易量保持稳定。     

新华富时中国A25指数ETF期权多空比值与上证综指关系研究

本文选取新华富时中国A25指数ETF认沽期权、认购期权交易量比值和上证综指日收益率为研究对象,考察这两个时间序列的联动关系及两个市场的波动溢出关系,力图证明该ETF期权认购期权交易量与认沽期权交易量的比值能够在一定程度上预测中国上证综指的走势。向量自回归模型表明,多空比值与指数收益率之间存在长期均衡关系,且多空比值是收益率的格兰杰因。之后提取VECM中的误差修正项,带入双变量EC-EGARCH-M模型,结果表明,两市场存在时间序列波动聚集性、非对称性和波动溢出效应。最后,本文利用前述结果总结并建立指数投资策略。在样本时间范围内,该类投资策略能够获得比大盘更高的收益。     

Stock splits to profit insider trading: Lessons from an emerging market

Stock splits have long presented financial puzzles: Why are they undertaken? Why are they associated with abnormal returns? Abnormal returns, particularly those coming shortly before a split’s announcement date, should raise strong suspicions of insider trading, particularly in nations with weak regulatory structures. We examined the 718 split events in the emerging stock market of Vietnam from 2007 through 2011. We found evidence consistent with illegal insider trading, particularly in firms that were vulnerable to insider manipulation and, therefore, more likely to split their stocks. When vulnerable firms’ stocks did split, they provided significant excess short-term returns. Tellingly, the abnormal returns on those stocks prior to the split announcements were also extremely high, indeed higher than their abnormal post-announcement returns. Moreover, trading volume increased prior to the split announcement date. This suspicious pattern is what we would expect if insiders were trading on their knowledge. We propose that illegal insider trading in contexts where it is possible to escape serious penalty provides a previously undiscussed and cogent explanation for both stock splits and abnormal short-term returns.     

Abnormal trading volume,news and market efficiency: Evidence from the Jamaica Stock Exchange

This paper investigates market efficiency of the Jamaica Stock Exchange (JSE). Together, weak and semi-strong form efficiency claim that historical and newly released public information do not predict future stock price movement. We test both forms of market efficiency by analyzing stock price behavior during times of abnormal trading volume and around the release dates of earnings information. Abnormal trading volume may be driven by liquidity demand or reflect new or private information flow to the market. Using JSE data over the period 2000 to 2021, we find price dynamics consistent with price pressure as firms experience negative abnormal returns on the day of abnormal trading activity but offsetting positive abnormal stock returns on the following day. Further findings show post earnings announcement drift on the JSE. Taken as a whole, the evidence suggests violations of market efficiency and has implications for capital allocation in this emerging market.     

Which past returns affect trading volume?

Anecdotal evidence suggests and recent theoretical models argue that past stock returns affect subsequent stock trading volume. We study 3,000 individual investors over a 51 month period to test this apparent link between past returns and volume using several different panel regression models (linear panel regressions, negative binomial panel regressions, Tobit panel regressions). We find that both past market returns as well as past portfolio returns affect trading activity of individual investors (as measured by stock portfolio turnover, the number of stock transactions, and the propensity to trade stocks in a given month). After high portfolio returns, investors buy high risk stocks and reduce the number of stocks in their portfolio. High past market returns do not lead to higher risk taking or underdiversification. We argue that the only explanations for our findings are overconfidence theories based on biased self-attribution and differences of opinion explanations for high levels of trading activity.     

Speculative dynamics and price behavior in the Shanghai Stock Exchange

This article examines the extent to which the trading behavior of heterogeneous investors manifests in stock price changes of asset portfolios which constitute the Shanghai Stock Exchange. There are three major findings that materialize. Firstly, reliable statistical evidence of a negative relation between the conditional first and second moments of the return distributions of stock prices lends support to the volatility feedback effect. Secondly, ‘feedback’, or momentum-type investors, are not present in this market as is often detected from the daily price changes of other industrialized markets. Finally, trade volume as a proxy for ‘information-driven’ trading suggests that such investors play a statistically significant role in stock price movements. Parameter estimates from this latter group of investors imply that a rise in stock prices from a high volume trading day is more likely than a rise resulting from a low volume trading day.     

Belief Dispersion in the Stock Market

We develop a dynamic model of belief dispersion with a continuum of investors differing in beliefs. The model is tractable and qualitatively matches many of the empirical regularities in a stock price and its mean return, volatility, and trading volume. We find that the stock price is convex in cash‐flow news and increases in belief dispersion, while its mean return decreases when the view on the stock is optimistic, and vice versa when pessimistic. Moreover, belief dispersion leads to higher stock volatility and trading volume. We demonstrate that otherwise identical two‐investor heterogeneous‐beliefs economies do not necessarily generate our main results.     

Institutional Investor Participation and Stock Market Anomalies

This paper investigates the impact of institutional trading volume on stock market anomalies. The paper proposes a measure that evaluates the percentage of total trading volume of a stock accounted for by institutional trades. The empirical analyses using a large sample of firms from 1980–2005 provide strong evidence that the strength of stock market anomalies such as price momentum, post‐earnings announcement drift, the value premium, and the investment anomaly is decreasing in institutional trading volume. Additionally, the effects of institutional trading volume are stronger than those of institutional ownership, the major measure of institutional investor participation in the finance literature. These findings suggest that institutional trading significantly improves stock price efficiency.     

Causal and Dynamic Relationships among Stock Returns,Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia

This paper examines the causal and dynamic relationships among stock returns, return volatility and trading volume for five emerging markets in South-East Asia—Indonesia, Malaysia, Philippines, Singapore and Thailand. We find strong evidence of asymmetry in the relationship between the stock returns and trading volume; returns are important in predicting their future dynamics as well as those of the trading volume, but trading volume has a very limited impact on the future dynamics of stock returns. However, the trading volume of some markets seems to contain information that is useful in predicting future dynamics of return volatility.     

Options trading volume and stock price response to earnings announcements

We examine the effect of options trading volume on the stock price response to earnings announcements over the period 1996–2007. Contrary to previous studies, we find no significant difference in the immediate stock price response to earnings information announcements in samples split between firms with listed options and firms without listed options. However, within the sample of firms with listed options stratified by options volume, we find that higher options trading volume reduces the immediate stock price response to earnings announcements. This conforms with evidence that stock prices of high options trading volume firms have anticipated and pre-empted some earnings information in the pre-announcement period. We also find that higher abnormal options trading volume around earnings announcements hastens the stock price adjustment to earnings news and reduces post-earnings announcement drift.     

Trading Volume and Cross-Autocorrelations in Stock Returns

This paper finds that trading volume is a significant determinant of the lead-lag patterns observed in stock returns. Daily and weekly returns on high volume portfolios lead returns on low volume portfolios, controlling for firm size. Nonsynchronous trading or low volume portfolio autocorrelations cannot explain these findings. These patterns arise because returns on low volume portfolios respond more slowly to information in market returns. The speed of adjustment of individual stocks confirms these findings. Overall, the results indicate that differential speed of adjustment to information is a significant source of the cross-autocorrelation patterns in short-horizon stock returns.     

Intraday stock price effects of ad hoc disclosures: the German case

This paper examines intraday stock price and trading volume effects caused by ad hoc disclosures in Germany. The evidence suggests that the stock prices react within 30 min after the ad hoc disclosures. The adjustment of the trading volume needs even more time. We find no evidence for abnormal high price nor trading volume reactions in the five transactions before ad hoc disclosures. The bigger the company, which announces an ad hoc disclosure, the less severe the abnormal price effect, following the announcement, is. The higher the trading volume at the last trading day before the announcement, the higher the price and trading volume effects, after the ad hoc disclosures, are.