Based on institutions' general role and the specialty of motivated investors' relatively larger stake, we examine whether ownership by motivated investors is associated with the focal firm's ESG rating disagreement in China. Our results suggest that ownership by motivated investors can decrease the focal firm's ESG rating disagreement. That relationship is strengthened by a better internal or external information environment. What's more, ownership by motivated investors can increase the quality of ESG disclosure and the level of consensus ESG rating. ESG rating disagreement increases stock return volatility and price synchronicity, while motivated investors can mitigate those negative effects. Our results confirm that motivated investors have greater incentive and capability to discipline managers and influence corporate policies and actions even in an emerging market with weak investor protection and the popularity of exploration by ultimate controllers. That would shed valuable insights into the high-quality development of other emerging markets, especially those in south-east Asian.

This paper improves the expected return variable and the corresponding trend factor documented by Han, Zhou, and Zhu (2016) and reveals the incremental predictability of this novel expected return measure on stock returns in the Chinese stock market. Portfolio analyses and firm-level cross-sectional regressions indicate a significantly positive relation between the improved expected return and future returns. These results are robust to the short-, intermediate-, and long-term price trends and other derived expected returns. Our improved trend factor also outperforms all trend factors constructed by other expected returns. Additionally, we observe that lottery demand, capital states, return synchronicity, investor sentiment and information uncertainty can help explain the superior performance of the improved expected return measure in the Chinese stock market.

This study examines the influence of ESG report textual similarity on stock price synchronicity within the Chinese A-share market. Using advanced textual analysis methods, including TF-IDF and LDA, we measure the textual similarity of ESG reports among industry peers. Our results reveal a positive association between ESG report textual similarity and stock price synchronicity, suggesting that ESG reports with high textual resemblance may not convey distinct market information. This research underscores the importance of textual distinctiveness in ESG reports and offers a fresh perspective on the role of non-financial information, particularly related to CSR, in stock pricing dynamics. By emphasizing the significance of ESG report textual distinctiveness, we contribute to the broader discourse on ESG disclosure behaviors and their implications for capital market efficiency.

This study examines the influence of ESG report textual similarity on stock price synchronicity within the Chinese A-share market. Using advanced textual analysis methods, including TF-IDF and LDA, we measure the textual similarity of ESG reports among industry peers. Our results reveal a positive association between ESG report textual similarity and stock price synchronicity, suggesting that ESG reports with high textual resemblance may not convey distinct market information. This research underscores the importance of textual distinctiveness in ESG reports and offers a fresh perspective on the role of non-financial information, particularly related to CSR, in stock pricing dynamics. By emphasizing the significance of ESG report textual distinctiveness, we contribute to the broader discourse on ESG disclosure behaviors and their implications for capital market efficiency.

This paper aims to investigate the transmission mechanism through which trade policy uncertainty (TPU) impacts bank risk-taking via firms’ capital market performance. The research reveals that TPU significantly affects firms’ capital market performance, leading to reduced stock liquidity, increased stock price crash risk, decreased stock price synchronicity, and lower stock returns. These effects are transmitted to bank risk-taking, resulting in an overall increase in banks’ passive risk-taking and a decrease in their willingness to undertake active risk-taking. Furthermore, we discover that the impact of TPU on bank risk-taking varies across different categories of firms, revealing heterogeneity in this transmission process. This study uncovers the critical mechanism through which TPU propagates in financial markets, offering important theoretical insights and policy implications for understanding and managing financial risk.

This paper improves the expected return variable and the corresponding trend factor documented by Han, Zhou, and Zhu (2016) and reveals the incremental predictability of this novel expected return measure on stock returns in the Chinese stock market. Portfolio analyses and ffrm-level cross-sectional regressions indicate a signiffcantly positive relation between the improved expected return and future returns. These results are robust to the short-, intermediate-, and long-term price trends and other derived expected returns. Our improved trend factor also outperforms all trend factors constructed by other expected returns. Additionally, we observe that lottery demand, capital states, return synchronicity, investor sentiment and information uncertainty can help explain the superior performance of the improved expected return measure in the Chinese stock market.

The Chinese stock market is known for high synchronicity and the market portfolio represents a prominent risk factor to investors in the Chinese stock market. We conjecture that as a result, stocks with high exposure to market risk in China earn higher returns. Indeed, we find that CAPM beta is positively related to daily and monthly stock returns in the Chinese stock market. To substantiate our argument, we further show that the betareturn relation is stronger during periods when market risk is high. Moreover, we find that market risk is priced only during the day but not overnight in the Chinese stock market. We explore the effect of several unique trading rules in China and show evidence that the “T+1” trading rule is likely the cause.

Using data from Chinese A-share listed companies from 2010 to 2021, we examined the impact of ESG rating disagreement on stock price synchronicity and its mechanisms. We discovered that ESG rating disagreement increases stock price synchronicity by raising investors' information costs and reducing the efficiency of ESG information incorporation into prices. This effect is more pronounced when average ESG ratings are either low or high. Our findings highlight how ESG rating disagreement affects stock price synchronicity and provide insights for regulators to standardize rating criteria and foster a conducive ESG investment environment, promoting pricing efficiency in the capital markets.

Using the staggered opening of governmental public data platforms in China, we employ the difference-in-difference approach to investigate how public data access affects stock price synchronicity. We find that stock price synchronicity significantly drops after the public data platform is established in a firm’s headquarters city. The underlying mechanism is reducing information acquisition costs rather than increasing market attention or corporate information disclosure quality. Furthermore, the informational role of public data platforms magnifies under higher informed trade risk, poorer corporate governance, or better regional economic and innovation capacity. We highlight the role of public data in facilitating financial market efficiency.

Distinct from existing studies on general institutional investors and institutional investor cliques, this study examines how common institutional owners, who simultaneously hold more than 5% equity blocks in at least two publicly traded firms within the same industry, influence firms’ bad mergers and acquisitions (M&As) in China. Contrary to the “conspiracy tort” view, according to which common institutional owners are more likely to vote for bad M&A deals to pursue internalized gains from industry portfolios (Antón et al., 2022b), our results strongly support the “synergy governance” view, according to which common institutional owners perform more actively and effectively in monitoring against bad M&As and improving M&A quality. There is further evidence that common institutional owners with greater peer linkages and industry power and longer-term holdings are more likely to oppose deals with negative acquirer returns. Finally, we find that the effect of common institutional ownership on M&As is more pronounced among firms with stronger earnings management, moderate stock return synchronicity, less management shareholding and higher management expenses. The results are consistent with the “synergy governance” hypothesis whereby common institutional owners are able to leverage their advantages of industry information and supervisory experience to improve the information environment and corporate governance of the firms they hold. Overall, in China’s market, common institutional owners play an active external governance role and effectively improve M&A quality.