This study explores the proclivity of institutional investors in China towards highESG stocks amidst the growth of ESG investment funds. Using A-share data from 2015-2022 and a Tobit model analysis, it is found that these investors indeed favor such stocks, particularly under extensive analyst coverage and in non-state-owned firms. However, rating discrepancies can impact this preference. The attraction lies in reduced operational risks and improved net profits. Notably, independent investors show a stronger ESG preference, especially within high-pollution industries. Thus, fostering ESG investment among institutional investors can improve resource allocation in China's capital market, favoring eco-friendly companies.

This paper models the effect of corporate information preference on stock return volatility based on optimization problems of information decisions for firms and investors. Our model hypothesizes a positive correlation between corporate information preference and volatility. Utilizing the ideal institutional background of the Chinese stock market, we empirically confirm that corporate information preference has a positive impact on volatility, particularly for firms facing more severe financial distress, limited investor attention, and fewer analyst coverage. Our study provides a new perspective for analyzing the interaction between information supply and asset price dynamics.

The study finds that analyst skill plays a key factor to explain the complicated and chaotic relation between analyst coverage and external governance. We divide analysts into multiple skill groups by GMM (Gaussian mixture model) method, and explore the effect of the coverage by skilled analysts on earnings management in Chinese listed companies. The results indicate that only the coverage of skilled analysts shows a significant negative correlation with earnings management. Heterogeneity analysis reveals that the negative relationship between the coverage of skilled analysts and earnings management is primarily observed in non-state-owned companies, those with weaker external audits, and smaller-scale firms. The conclusion remains robust after considering endogeneity issues. The findings of this study suggest that incorporating analyst skill contributes to a better understanding of the mechanisms through which analysts influence corporate governance. It also highlights that the role of analysts in corporate governance cannot be generalized.

By exploring additional information, both institutional investors’ site visits and analyst coverage can stimulate corporate innovation. However, because analysts are more specialized in information exploration, their existence should weaken the effect of institutional site visits on corporate innovation. By using Chinese listed firms from 2009 to 2013, we investigate the effect of institutional site visits on firms’ innovation output, with a focus on its heterogeneity from analyst coverage. We use patent citation records to accurately measure firms’ innovation output. We find that institutional site visits significantly enhance corporate innovation among firms without analyst coverage, among firms with low analyst coverage, while this effect turns insignificant among firms with high analyst coverage. IV estimations confirm the causality. Additionally, we find that our major results exist only among non-SOEs, firms with a lower quality of information disclosure, firms with lower liquidity, and newly listed firms. Overall, this paper helps better understand the interaction between institutional site visits and analyst coverage regarding information exploration.

This study examines whether sell-side analysts have the ability to disseminate information consistent with anomaly prescriptions in China. I adopt 192 trading-based and accounting-based anomaly signals to identify undervalued and overvalued stocks. Analysts tend to give more (less) favorable recommendations and earnings forecasts to undervalued (overvalued) stocks. On analyzing the information content, I find that analyst recommendations and earnings forecasts are consistent with accounting-based information rather than trading-based information. Analysts make recommendations and earnings forecasts consistent with anomalies, especially when firms experience relatively bad firm-level information. Additionally, undervalued (overvalued) stocks are associated with high (low) analyst coverage. The results indicate that analysts may contribute to mitigating anomaly mispricing and improving market efficiency in China.

Using the unique financial reporting format in China, where quarterly earnings are reported on a year-to-date basis, we test behavioral finance models featuring fundamental extrapolation. We show that stocks with the strongest past year-to-date earnings growth experience a significant price run-up during the five trading days before their earnings announcements and a significant return reversal afterward. The effects are more pronounced for stocks with a larger retail clientele and less analyst coverage. Corroborating evidence from retail investor net buying demand suggests that investors naïvely extrapolate the salient but less informative year-to-date earnings growth when forecasting the upcoming earnings.

In the new wave of sustainable finance, firms are under increasing pressure from stakeholders to engage in ESG activities, among which the role of financial analysts is a key driving factors of corporate sustainability. This paper investigates the effect of analyst coverage on corporate environmental, social, and governance (ESG) performance. Using the dataset of listed firms in China from 2009 to 2020, we find that analyst coverage significantly improves the target firm’s ESG scores. We validate three non-mutually exclusive channels through which analyst coverage encourages ESG engagement: (1) encourage firms’ awareness on ESG issues via ESG-oriented information production; (2) alleviate ESG undervaluation and strengthen the financial relevance of ESG performance; (3) mitigate financial constraints to support corporate ESG activities. We establish causality with an instrumental variable estimation and a difference-in-differences approach. Our findings highlight the information intermediary role of financial analysts in driving corporate sustainability.

We provide the first systematic analysis of the stock return lead-lag effect among firms connected through shared analyst coverage in China’s A-share markets. We measure the shared analysts-weighted average returns of connected firms (CF) and show that CF return is a significant positive predictor of future returns of the focal firms in the following one to 12 months. The CF-based long-short portfolio earns an abnormal return of 10% to 12% per year. The effect is robust to controls for the industry and geographic momentum effects. Further evidence shows that the CF momentum spillover effect is stronger when the focal firm shares more analysts with connected firms, is covered by more non-star analysts or analysts with lower levels of education, or is held by more stress-resistant institutional investors. Our findings contribute to the cross-asset momentum literature by documenting a new, strong, and long-lasting momentum spillover effect in the Chinese stock markets.

How to shape a firm’s stock price resilience in the increasingly uncertain environment has become an important topic. This paper investigates the effect of important market participantsfinancial analysts-on stock price resilience. Based on data from 3,444 listed firms from China, we find that firms with higher analyst coverage are more resilient during the Covid-19 induced crisis, which is manifested by a lower pandemic-induced decline in stock price, shorter duration of decline period, higher recovery probability, and shorter duration of the recovery period after the shock. This positive relationship is more prominent for small firms but does not depend on ownership type, and the ratio of star analyst coverage. Further channel tests show that analysts could help in attracting attention from media and institutional investors, improving corporate governance, and reducing financial constraints, which in turn enhance the ability of stock prices to absorb pandemic shocks.

Researchers have developed a number of theories to explain stock return continuation. Using stock data from 16 emerging markets (1990 to 2002), we conduct an out-of-sample test for the sources of momentum profitability. This paper examines the role of financial analyst in the exhibited stock return continuation among emerging markets. Consistent with the predictions of the gradual information diffusion theory (Hong and Stein, 1999), the evidence indicates that momentum strategies are most profitable in small firms, firms with low analyst coverage. More interestingly, we find that besides the level of analyst following, the change in analyst following, specifically, increasing analyst coverage, and the analyst forecasts with high dispersion can help explain stock return momentum.