scholarly journals Do the Securities Analysts Play the Role of Information Competition or Information Supplement? Empirical Analysis Based on Investor Sentiment (ID: SO-20-2446.R3)

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110672
Author(s):  
Ping Lu ◽  
Zhihong Li ◽  
Jianhui Liu ◽  
Yunxuan Wang

The purpose of this article is to investigate the role of securities analysts in Chinese stock market. Taking the earnings announcements of listed companies, analysts’ earnings forecast and analysts’ recommendations in Chinese stock markets from 2014 to 2018 as the samples, this paper explores the influence mechanism of investor sentiment on the market reaction to announcements, and investigates the influence mechanism of investor sentiment on the role of securities analysts under the framework of behavioral finance theory. On the basis of theoretical analysis, this paper empirically tests the relationship between the information content of analysts’ reports and the information content of the earnings announcements from the perspective of behavioral finance, and discusses the role of securities analysts in the stock market. The results show that during the periods of high investor sentiment, securities analysts do not demonstrate the role of information competition or information supplement. On the other hand, during the periods of low investor sentiment, securities analysts play the role of information competition or information supplement. Furthermore, after excluding the investor sentiment component of the market reaction to announcements, securities analysts do not demonstrate the role of information competition, but play the role of information supplement. The findings of this study offer new insights into the role securities analysts play in Chinese stock market, which is conducive to improving the quality of analysts’ reports, thus enhancing the efficiency of the securities market.

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Chi Xie ◽  
Yuanxia Wang

With the quick development of the Internet, online platforms that provide financial news and opinions have attracted more and more attention from investors. The question whether investor sentiment expressed on the Internet platforms has an impact on asset return has not been fully addressed. To this end, this paper uses the Baidu Searching Index as the agent variable to detect the effect of online investor sentiment on the asset price movement in the Chinese stock market. The empirical study shows that although there is a cointegration relationship between online investor sentiment and asset return, the sentiment has a poor ability to predict the price, return, and volatility of asset price. Meanwhile, the structural break points of online investor sentiment do not lead to changes in the asset price movement. Based on the empirical mode decomposition of online investor sentiment, we find that high frequency components of online investor sentiment can be used to predict the asset price movement. Thus, the obtained results could be useful for risk supervision and asset portfolio management.


2007 ◽  
Vol 21 (2) ◽  
pp. 129-151 ◽  
Author(s):  
Malcolm Baker ◽  
Jeffrey Wurgler

Investor sentiment, defined broadly, is a belief about future cash flows and investment risks that is not justified by the facts at hand. The question is no longer whether investor sentiment affects stock prices, but how to measure investor sentiment and quantify its effects. One approach is “bottom up,” using biases in individual investor psychology, such as overconfidence, representativeness, and conservatism, to explain how individual investors underreact or overreact to past returns or fundamentals The investor sentiment approach that we develop in this paper is, by contrast, distinctly “top down” and macroeconomic: we take the origin of investor sentiment as exogenous and focus on its empirical effects. We show that it is quite possible to measure investor sentiment and that waves of sentiment have clearly discernible, important, and regular effects on individual firms and on the stock market as a whole. The top-down approach builds on the two broader and more irrefutable assumptions of behavioral finance—sentiment and the limits to arbitrage—to explain which stocks are likely to be most affected by sentiment. In particular, stocks that are difficult to arbitrage or to value are most affected by sentiment.


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