投资者情绪与中国股票市场过度波动

本文分析中国投资者分类情绪及信心变化与中国股票市场波动的同期及动态影响。实证结果表明:就同期而言,中国投资者对国内经济基本面的信心变化以及中国股票市场波动,将影响投资者对国际经济金融环境的信心;就中长期而言,中国投资者情绪中关于国内经济基本面和国内经济政策的信心变化是影响中国股票市场过度波动的重要原因;中国投资者关于国际经济金融环境的信心深受国内经济基本面的信心变化的影响,中国投资者对A股市场估值的判断,受投资者对A股市场的股票估值信心以及国内经济基本面信心变化影响较大。     

Market Response to Investor Sentiment

This paper reconsiders the effect of investor sentiment on stock prices. Our main contribution is that, in addition to the intermediate term return predictability, we also analyze the immediate price reaction to the publication of survey‐based investor sentiment indicators. We find that the sign of the immediate market response is the same as that of the predictability at intermediate time horizons. This is consistent with underreaction to cash flow news or with investor sentiment being related to mispricing. It is inconsistent with the alternative explanations of a rational response to cash flow news or sentiment indicators providing information about future expected returns.     

Investor Sentiment and Stock Returns: Evidence from Turkey

This paper investigates the relation between investor sentiment and stock returns on the Istanbul Stock Exchange, employing vector autoregressive (VAR) analysis and Granger causality tests. The sample period extends from July 1997 to June 2005. In the VAR models, stock portfolio returns and investor sentiment proxies are used as endogenous variables. Two dummy variables accounting for natural and economic crises are used as exogenous variables. The analysis results suggest that, excepting shares of equity issues in aggregate issues, stock portfolio returns seem to affect all investor sentiment proxies, namely closed-end fund discount, mutual fund flows, odd-lot sales-to-purchases ratio, and repo holdings of mutual funds. Investor sentiment does not appear to forecast future stock returns; only the turnover ratio of the stock market seems to have forecasting potential.     

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.     

投资者情绪、期权隐含信息与股市波动率预测——基于上证50ETF期权的经验研究

在异质自回归模型(HAR-RV)中引入中国上证50ETF期权隐含信息和投资者情绪,本文分别对中国股票市场未来日、周和月波动率进行预测。研究发现,期权隐含信息和投资者情绪能够提高HAR-RV模型对股票市场未来波动率的预测效果。投资者情绪对未来波动率的影响存在两种机制:在情绪高涨期间,月已实现波动率与未来波动率正相关,说明以个人投资者占主体所引起的价格信息机制,在中国股票市场交易中占主导作用;风险中性偏度与未来波动率负相关,说明以个人投资者占主体所引起的噪声交易机制占主导作用。     

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.     

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.     

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。     

基于股市投资者情绪的非理性投机泡沫模型研究

针对股市非理性投机泡沫研究的不足,通过引入投资者情绪构建基于噪声交易者模型的非理性投机泡沫模型,以此研究噪声交易者的认知偏差,其在投资过程中所带有的情绪及其对风险资产历史基础价值冲击的过度反应对股市投机泡沫的影响。结果表明：市场中带情绪的噪声交易者数量越多,股价中的非理性投机泡沫成分越大,其波动程度也越剧烈。     

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。     

Options Trading Based on the Forecasting of Volatility Direction with the Incorporation of Investor Sentiment

Using options price data on the Taiwanese stock market, we propose an options trading strategy based on the forecasting of volatility direction. The forecasting models are constructed with the incorporation of absolute returns, heterogeneous autoregressive-realized volatility (HAR-RV), and proxy of investor sentiment. After we take into consideration the margin-based transaction costs, the results of our simulated trading indicate that a straddle trading strategy that considers the forecasting of volatility direction with the incorporation of market turnover achieves the best Sharpe ratios. Our trading algorithm bridges the gap between options trading, market volatility, and the information content of investor overreaction.     

货币政策是否影响股票市场:基于中国股市的实证分析

货币政策是否影响股票市场，对该问题的回答涉及到中央银行是否有能力以及如何干预股票市场。本文运用协整检验、Granger因果关系检验、向量自回归模型等计量方法分析得出如下结论：1．货币供应量M1、M2与股市流通市值存在双向因果关系，名义利率Nr、实际利率Rr是股市流通市值Nc的Granger原因；2．中央银行可以通过货币供应量和利率两种方式影响股票市场，其中利率更有效。这些结论对于货币当局调控股票市场具有重要的借鉴意义。     

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.     

Terrorism and Stock Market Sentiment

This paper examines the effects of terrorism on stock market sentiment by focusing on the behavior of expected probability density functions of the FTSE 100 index around terrorist attacks. We find that terrorism has a strong adverse impact on stock market sentiment. In particular, terrorist attacks are found to cause a pronounced downward shift in the expected value of the FTSE 100 index and a significant increase in stock market uncertainty. Furthermore, our results show that the expected FTSE 100 probability densities became significantly more negatively skewed and fat‐tailed in the immediate aftermath of terrorist acts.     

个人投资者情绪对企业履行社会责任的影响

基于利益相关者理论,运用多元回归模型,依据2010-2018年度企业社会责任相关数据,将中国A股非金融类上市公司分为重污染企业和非重污染企业,考量个人投资者情绪对企业社会责任的影响.结果显示:个人投资者情绪越积极,企业社会责任履行状况越好;个人投资者情绪治理的效果会受污染异质性影响,相对于非重污染企业而言,个人投资者情绪对于重污染企业社会责任履行的影响更显著.鉴于此,应建立投资者情绪监测机制、鼓励社会责任投资等.     

汇率制度改革后中国股市与汇市关系——人民币名义汇率与上证综合指数的实证研究

本文利用协整检验和Granger因果检验的计量方法研究了汇率制度改革后中国股市与汇市的关系。实证结果表明,汇率制度改革后中国股市与汇市存在长期稳定的协整关系,人民币升值是中国股市上扬的单向Granger原因。最后,本文利用国际收支和资本流动理论对这些实证结果作了进一步解释,并提出了相应的政策建议。     

融资融券对我国股市波动性的影响

本文采集股价指数月收益率和融资融券交易额每月日平均变化率的数据,针对融资融券对我国股市波动性的影响,进行实证检验,并对结果做进一步的解释。     

Sectoral Responses of the Chinese Stock Market to International Oil Shocks

We investigate the relationship between international oil shocks and the sectoral dynamics of the Chinese stock market. Our empirical results show that the behavior and response to international oil shocks by the Chinese stock market differ significantly from the behavior and responses of the European stock market as documented in the literature. In China, only the mining industry has a strong and consistent link with international oil shocks when systematic risk factors are controlled. There is no clear evidence of asymmetries in China's sectoral stock-oil relationship.     

Market Structure and Return Volatility: Evidence from the Hong Kong Stock Market

There is no consensus about the cause for higher volatility at the market open than at the market close in the U.S. market. As an order–driven, nonspecialist market, the Hong Kong stock market provides a useful setting for an examination. If halt of trade were the major cause of higher open–to–open volatility, the open–to–open volatility in the Hong Kong market would be higher. However, this is not observed. The autocorrelation of the open–to–open return series also indicates that the temporary price deviation at the market opening is not significant. We view these findings as consistent with the specialist argument.     

Concentration of the UK Stock Market

Abstract:  During 1999 and 2000 a large number of articles appeared in the financial press which argued that the concentration of the FTSE 100 had increased. Many of these reports suggested that stock market volatility in the UK had risen, because the concentration of its stock markets had increased. This study undertakes a comprehensive measurement of stock market concentration using the FTSE 100 index. We find that during 1999, 2000 and 2001 stock market concentration was noticeably higher than at any other time since the index was introduced. When we measure the volatility of the FTSE 100 index we do not find an association between concentration and its volatility. When we examine the variances and covariance's of the FTSE 100 constituents we find that security volatility appears to be positively related to concentration changes but concentration and the size of security covariances appear to be negatively related. We simulate the variance of four versions of the FTSE 100 index; in each version of the index the weighting structure reflects either an equally weighted index, or one with levels of low, intermediate or high concentration. We find that moving from low to high concentration has very little impact on the volatility of the index. To complete the study we estimate the minimum variance portfolio for the FTSE 100, we then compare concentration levels of this index to those formed on the basis of market weighting. We find that realised FTSE index weightings are higher than for the minimum variance index.