Stock market reactions to domestic sentiment: Panel CS-ARDL evidence

This study sets out to explore the effects of business and consumer sentiment on stock market performance, within the separate contexts of advanced and emerging markets. The empirical analysis is carried out using the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) modeling approach, which considers time dynamics, cross-sectional heterogeneity, and cross-sectional dependence. The findings for developed markets suggest that business sentiment has positive leading effects on stock returns, across short- and long-term time horizons, while for emerging markets, the price impact of business sentiment turns out to be short-lived. On the other hand, consumer sentiment tends to affect positively both market types, albeit only in the short run. Furthermore, the influence of sentiment indicators seems to be stronger in emerging- than in developed-market countries. The results remain robust, even after controlling for a rich range of potential predictors of stock returns. Generally, such evidence highlights the relevance of psychological factors, such as business and consumer sentiment, in determining the future trajectory of asset prices.     

Assessing the reversal of investor sentiment

Assessing the reversal of sentiment in stock markets is needed because, according to the social mood cycle, the change of social mood over time is an antecedent of price movements. The purpose of this study is to empirically assess reversal of investor sentiment, to show the phases of social mood cycle from increasing mood to decreasing mood, and to explain the dynamic change in market inefficiency from increasing to decreasing. Growth modeling, developed particularly for dealing with the change over time, is used in this study for assessing the reversal of investor sentiment. The autocovariance structure of errors and the variances/covariances of the random coefficients are all taken into account in the model. The results have indicated that the change in investor sentiment over time is inverted U-shaped for the entire market. Moreover, arbitrage constraint and stock characteristics exert a joint moderating effect on sentiment reversal. Less arbitrage constraint can strengthen sentiment reversal only when the market for individual stocks is dominated by noise traders. Based on the results obtained, we discuss asset pricing, liquidity management, and market intervention.     

投资者和风险投资家委托代理问题探析

运用委托代理理论对风险投资中投资者与风险投资家之间的委托代理关系进行分析,结合我国风险投资发展现状,并提出促进我国发展风险投资的建议。     

中国企业跨国并购的动因--基于制度分析的视角

过去几十年来,国际生产的增长主要是通过跨国并购的模式实现。不过以前的研究主要集中在运用行业和企业层面的因素来探讨FDI的进入模式。邓宁(2009)强调宏观经济变量可以解释FDI,并呼吁进行更多的研究,以提高我们对宏观经济变量影响重要性的认识。在前期研究的基础上,文章采用2006-2012年6534起中国企业并购交易作为样本,分析中国企业跨国并购交易的决定因素。借鉴诺思的制度理论框架,探讨中国和东道国的正式制度与非正式制度对中国企业发起跨国并购可能性的影响。文章研究的重点在于国家宏观经济和投资者保护状况对中国企业进行跨国并购交易的可能性的影响。通过单因素分析和logistic回归分析发现,中国宏观经济的发展和目标企业所处的商业环境越好,越会促进中国企业跨国并购的可能性。实证结果还显示中国对投资者保护强度越大,中国企业进行跨国并购的可能性更小。     

A non-linear approach for predicting stock returns and volatility with the use of investor sentiment indices

The popular sentiment-based investor index S^BW introduced by Baker and Wurgler (2006, 2007) is shown to have no predictive ability for stock returns. However, Huang et al. (2015) developed a new investor sentiment index, S^PLS, which can predict monthly stock returns based on a linear framework. However, the linear model may lead to misspecification and lack of robustness. We provide statistical evidence that the relationship between stock returns, S^BW and S^PLS is characterized by structural instability and inherent nonlinearity. Given this, using a nonparametric causality approach, we show that neither S^BW nor S^PLS predicts stock market returns or even its volatility, as opposed to previous empirical evidence.     

机构投资者是股票市场影响实体经济的助推器吗？——基于投资者情绪对公司资本投资的视角

"资本市场并非有效",股票市场上投资者情绪对公司的实体投资行为具有重大影响。被监管层寄予厚望的机构投资者从中扮演了什么角色?上述重大影响的助推器抑或制衡器,深层的作用机理又是什么?运用行为公司金融理论,研究发现,公司资本投资决策倾向于遵循机构投资者的"专家意见",机构投资者是投资者情绪影响公司资本投资的"助推器","管理者信心"是上述助推功能得以发挥的重要渠道。上述研究发现有助于从微观企业的视角,有效识别机构投资者在股票市场影响实体经济中的角色,为监管层在"后金融危机时代"制定和执行有关机构投资者的政策提供依据;也有益于公司管理层科学理解机构投资者传递的信息,合理规避决策过程中的"专家陷阱"。     

The effects of analyst forecasts and earnings trends on perceptions of management forecast credibility

We examine whether analyst forecasts influence investors’ perceptions of the credibility of a good news management earnings forecast. We hypothesize that the effect of analyst forecasts will depend on whether the analyst forecast confirms management’s forecast and the extent to which management’s forecast is consistent with the prior earnings trend. Findings indicate that the positive effect of a confirming analyst forecast is greater when the management forecast is trend inconsistent than when it is trend consistent. The negative effect of a disconfirming analyst forecast does not differ based on management forecast trend consistency.     

Rumor Clarification and Stock Returns: Do Bull Markets Behave Differently from Bear Markets?

This paper analyzes the effects of official rumor clarification on Chinese stock returns under different market conditions. The results show that the average cumulative abnormal return after the clarification event is significantly positive in a bull market, and significantly negative in a bear market. The results are robust across various types of rumors, including rumors of mergers and acquisitions, asset restructuring, and positive changes in a firm's operations. Moreover, in both bull and bear markets, investors are unable to distinguish between rumors that prove true and those that prove false, or between strong and weak rumor denial. Furthermore, investors are also unable to adjust their strategies accordingly.     

“I just like the stock”: The role of Reddit sentiment in the GameStop share rally

This paper investigates the role played by the social media platform Reddit in the events around the GameStop (GME) share rally in early 2021. In particular, we analyze the impact of discussions on the r/WallStreetBets subreddit on the price dynamics of the American online retailer GameStop. We customize a sentiment analysis dictionary for Reddit platform users based on the Valence Aware Dictionary and Sentiment Reasoner (VADER) sentiment analysis package and perform textual analysis on 10.8 million comments. The analysis of the relationships between Reddit sentiments and 1-, 5-, 10-, and 30-min GameStop returns contribute to the growing body of literature on “meme stocks” and the impact of discussions on investment forums on intraday stock price movements.     

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.