This study investigates the impact of analysts' information source diversity on forecast bias and investment returns. We combine the GPT-4o model and text similarity, to extract the names of information sources from the text of analyst in-depth reports. Using 349,200 sources, we calculate information diversity scores based on the variety of data sources to measure analysts’ ability of selecting relevant information. The findings reveal that higher information diversity significantly reduces forecast bias and enhances portfolio returns. The effect is particularly pronounced for large companies, state-owned enterprises, those with low analyst coverage, low firm-specific experience, and reports with positive forecast revisions. Institutional investors recognize the value of this skill, while retail investors remain largely unaware, which contributes to financial inequality. This study highlights the critical role of information diversity in analyst performance.

This paper investigates the impact of curation algorithms through the lens of stock market dynamics. By innovatively incorporating the dynamic interactions between social media platforms, investors, and stock markets, we construct the Social-Media-augmented Artificial Stock marKet (SMASK) model under the agent-based computational framework. Our findings reveal that curation algorithms, by promoting polarized and emotionally charged content, exacerbate behavioral biases among retail investors, leading to worsened stock market quality and investor wealth levels. Moreover, through our experiment on the debated topic of algorithmic regulation, we find limiting the intensity of these algorithms may reduce unnecessary trading behaviors, mitigates investor biases, and enhances overall market quality. This study provides new insights into the dual role of curation algorithms in both business ethics and public interest, offering a quantitative approach to understanding their broader social and economic impact.

Why is price momentum absent in China? Since momentum is commonly considered arising from investors’ under-reaction to fundamental news, we decompose monthly stock returns into news- and non-news-driven components and document a news day return continuation along with an offsetting non-news day reversal in China. The non-news day reversal is particularly strong for stocks with high retail ownership, relatively less recent positive news articles, and limits to arbitrage. Evidence on order imbalance suggests that stock returns overshoot on news days due to retail investors' excessive attention-driven buying demands, and mispricing gets corrected by institutional investors on subsequent non-news days. To avoid this tug-of-war in stock price, we use a signal that directly captures the recent news performance and re-document a momentum-like underreaction to fundamental news in China.

Using a unique dataset from China spanning 2005 to 2023, we investigate how superstitious beliefs influence mutual fund managers’ risk-taking behavior and how this influence evolves over their careers. We find a significant 6.82% reduction in risk-taking during managers’ zodiac years, traditionally considered unlucky in Chinese culture. This effect is particularly pronounced among less experienced managers, those without financial education backgrounds, and those with lower management skills. The impact also intensifies during periods of high market volatility. Our findings challenge the traditional dichotomy between retail and professional investors, showing that even professional fund managers can be influenced by irrational beliefs early in their careers. However, the diminishing effect of superstition with experience and expertise suggests a gradual transition towards more rational decision-making. Our results provide insights into the process by which financial professionals evolve from exhibiting behavior akin to retail investors to becoming the rational actors often assumed in financial theory.

We introduce a novel perspective on private information, specifically microstructure-based private information, to unravel how institutional investors predict stock returns. Using tick-by-tick transaction data from the Chinese stock market, we find that in retail-dominated markets, institutional investors positively predict stock returns, consistent with findings from institution-dominated markets. However, in contrast to the traditional view that institutional investors primarily rely on value-based private information, our results indicate that microstructure-based private information contributes almost as much to their predictive power as value-based private information does, with both components jointly accounting for approximately two-thirds of the total predictive power of institutional order flow. This finding reveals that retail investors’ trading activities significantly impact institutional investors, naturally forcing them to balance firm value information with microstructure information, thus profoundly influencing the price discovery process in the stock market.

Recent studies highlight the resurgence of state capitalism, with the state increasingly acting as equity investors in private firms. Why do state--business equity ties, including partial and indirect state ownership in private firms, proliferate in weakly institutionalized contexts like China? While conventional wisdom emphasizes state-driven explanations based on static evidence, I argue that regulatory risk reshapes business preferences, prompting firms to seek state investors and expanding state--business equity ties. These ties facilitate information exchange and signal political endorsement under regulatory scrutiny. Focusing on China's crackdown on the Internet and IT sectors, difference-in-differences analyses of all investments from 2016 to 2022 reveal a rise in state--business equity ties post-crackdown. In-depth interviews with investors along with quantitative analysis, demonstrate that shifts in business preferences drive this change. This study shows the resurgence of state capitalism is driven not only by the state but also by businesses in response to regulatory risks.

We investigate the unintended real effects of regulator-led minority shareholder activism on corporate innovation. We use manually collected data from the China Securities Investor Services Center (CSISC), a novel regulatory investor protection institution controlled by the China Securities Regulatory Commission (CSRC) that holds 100 shares of every listed firm. We find that by exercising its shareholder rights, the CSISC substantially curtails the innovation output of targeted firms. This effect is amplified in cases involving a high level of myopic pressure and few innovation incentives. We further observe variation in the real effects of different intervention methods. Textual analysis reveals that CSISC intervention with a myopic topic and negative tone contributes to a decrease in innovation. The results of a mechanism analysis support the hypothesis that regulator-led minority shareholder activism induces managerial myopia and financial constraints, impeding corporate innovation. Furthermore, CSISC intervention not only diminishes innovation output but also undermines innovation efficiency. In summary, our findings suggest that regulator-led minority shareholder activism exacerbates managerial myopia to cater to investors and financial constraints, ultimately stifling corporate innovation.

Site visits allow visitors to physically inspect productive resources and interact with onsite employees and executives face-to-face. We posit that, by allowing visitors to acquire investmentrelated information and monitor the management team, site visits offer disciplinary benefits for corporate investments. Using mandatory disclosures of site visits in China, we find that corporate investments become more responsive to growth opportunities as the intensity of site visits increases, consistent with the notion that site visits yield disciplinary benefits. We also find that the positive association between site visits and investment efficiency is more pronounced when visitors can glean more investment-related information and when they have stronger incentives and greater power to monitor managers. This positive association is also stronger among firms with more severe agency problems and higher asset tangibility. The overall evidence supports the notion that site visits serve as a unique venue for institutional investors and financial analysts to acquire valuable information and serve a monitoring function, which generates disciplinary benefits for corporate investments.

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.

We examine ESG pricing in the Chinese stock market. The results show that holding stocks with high ESG scores does not provide investors with higher future excess returns. On the contrary, stocks with low ESG scores perform better. However, this negative ESG premium feature is robust only in small-cap stocks. As size increases, the negative ESG premium fades away and is characterized by a positive premium in larger stock subgroups. We further examine the source of the negative ESG premium in small-cap stocks. The results show that this negative premium can not be explained by firm characteristics, short-term reversal effects, and lottery characteristics of stocks, but is associated with ESG investors. Specifically, the higher the ESG score with more ESG investors in small-cap stocks, the lower the expected excess return of the stock. This result implies that firms may benefit from ESG performance and disclosure, while investors may suffer from ESG strategies. Based on the results, we remind investors that they should be cautious in using ESG indicators to guide their investment decisions.