This article applies natural language processing (NLP) to extract and quan- tify textual information to predict stock performance. Leveraging an exten- sive dataset of Chinese analyst reports and employing a customized BERT deep learning model for Chinese text, this study categorizes the sentiment of the reports as positive, neutral, or negative. The findings underscore the predictive capacity of this sentiment indicator for stock volatility, excess re- turns, and trading volume. Specifically, analyst reports with strong positive sentiment will increase excess return and intraday volatility, and vice versa, reports with strong negative sentiment also increase volatility and trading volume, but decrease future excess return. The magnitude of this effect is greater for positive sentiment reports than for negative sentiment reports. This article contributes to the empirical literature exploring sentiment anal- ysis and the response of the stock market to news on the Chinese stock market.

We find a negative relation between share repurchase and corporate risk-taking using a sample of Chinese listed companies covering the period of 2014–2021. Our analysis yields consistent evidence even after consideration of endogeneity issues and the conducting of other robustness tests. We find that the impeded effect of share repurchase on corporate risk-taking is more pronounced for Chinese non-state-owned enterprises, firms with high competition in the product market, and firms located in low marketization regions. The possible mechanisms underlying these dynamics include share repurchase increasing the restrictions on low-cost financing and reducing over-investment. Our findings provide important implications for policyand low-making and are generalizable to other emerging markets.

This study explores the relationship between board chairs' early-life experience in the Great Chinese Famine and the debt maturity choices made by Chinese listed firms between 2000 and 2017. Our findings indicate that board chairs with famine experience exhibit a propensity towards long-term debt usage. We argue that this finding can be attributed to a risk-averse rather than altruistic orientation among board chairs who have experienced famine. Our results are particularly salient for firms with lower asset redeployability, higher distress risk, no political affiliations, and those that are not stateowned enterprises. Furthermore, this study provides three analyses to support the risk aversion traits: (1) board chairs with disaster experience underestimate their company's profit potential, (2) board chairs located in areas with higher mortality rates exhibit more obvious risk aversion behavior, and (3) extending the debt maturity date, board chairs can effectively increase company investment and mitigate the underinvestment problem.

This paper examines the impact of the rating of equity crowdfunding platforms in China on funding campaign success. We gather information from 2014 to 2021 on 583 fund raising campaigns. Our results suggest that campaign success is positively correlated with the reputation of the platforms but especially for the most reputable one. We also show that the level of technological intensity of the industries and services is positively correlated with the amount raised. Overall, our paper suggests that platform ratings provide a valuable signal to investors, especially when projects are risky and when information asymmetry is high.

Using the staggered intercity but within-province deregulation of local banks in China as exogenous variations, we evaluate the effect of banking integration across geographical segmentation on capital misallocation. Based on an administrative data set comprehensively covering Chinese manufacturing firms, we find that for firms with initially high marginal revenue products of capital (MRPK), the integration increases physical capital by 19.3%, and reduces MRPK by 33.1% relative to low MRPK ffrms. Our findings are more pronounced for non-statedowned firms and firms with higher exposure to integrated banks. Integration also significantly increases the responsiveness of firms’ investments to deposit shock on other cities within the same province.

We study the mandated introduction of a supervised auction for the primary bond market in China. The regulatory intervention significantly reduced the cost of debt for Chinese issuers. Most of the benefits flowed from reduced agency conflict between underwriters and issuers. Using unique bidder-level data from a lead underwriter, we develop replicable tools and techniques to identify collusive bidding behavior resulting in artificial (and economically costly) increases in bond yields. Such evidence can benefit global regulators, issuers, and investors currently using unsupervised auction mechanisms, for example, in securities issuance, construction projects, and procurement.

Exploiting the unexpected Central Environmental Inspections (CEI) in China as a quasinaturalexperiment, we find that public firms in polluting industries experience significant gains in both profitability and market valuation after the regulatory shock, relative to firms in nonpolluting industries. The outperformance of public firms can be explained by the retreat of their private competitors, many shut down due to poor environmental performance. Because firms seeking public listing are required to meet high environmental standards, CEI significantly strengthen public firms’ competitive position, leading to increased sales growth and market share. Moreover, the outperformance is more pronounced for firms with more eco-friendly technologies, consistent with strict environmental regulations increasing the marginal benefit of these technologies. We provide novel evidence of the bright side of environmental regulation by highlighting the importance of industry dynamics.

This paper employs a difference-in-differences approach to study whether a Chinese audit firm improves its competencies through organizational learning after one of its audit teams has a client cross-listed in the US. Among a group of companies that are listed only in China, we define those audited by firms that have cross-listed clients as the treatment group, and companies audited by other firms as the control group. We find an improvement in audit quality for the treatment group after their audit firms have cross-listed client experience in the US. A large-scale survey of auditors corroborates these findings and sheds light on specific actions undertaken by audit firms to facilitate learning. Both the empirical and survey results highlight the benefits of auditing crosslisted clients in the US and its positive externality on improving the audit quality of non-US-listed companies.

As the world’s two largest economies, China and the US are currently experiencing political and economic friction. This conflict brings high uncertainty to financial markets. Assessing risk spillover effects in a sector level will help us to characterize international risk contagions. We construct a multilayer network to examine tail risk spillovers between China and the US and find that (1) the value of total connectedness rises amidst tensions but declines during reconciliations; (2) interlayer spillovers mainly manifest as extreme pulses instead of steady outflows, which implies a significant increase in the frequency and magnitude of interlayer spillovers requires vigilant monitoring; and (3) compared with the in-strength, the out-strength is more concentrated, which represents that some sectors may play the role of major interlayer transmitter in tail risk spillovers. Monitoring interlayer spillovers helps policymakers and investors respond to emerging systemic threats.

Using the data of Chinese listed firms from 2003-2020, this study applies a System GMM estimation approach to document that high local government ecological concerns increase a firm’s stock price crash risk. This finding remains consistent after addressing endogeneity issues and undergoing robustness checks. This study also reveals that the implementation of the new environmental protection law in 2015 mitigates the relationship between local government ecological concerns and stock price crash risk. Further analyses indicate that stricter environmental regulation and high subsidies, as well as enhanced corporate social responsibility and governance, can effectively alleviate the adverse effect of local government ecological concerns on stock price crash risk. In addition, we note that the influence of local government ecological concerns on stock price crash risk is more significant in the eastern region, heavily polluting industries, and non-SOEs. Lastly, the research identifies two potential channels through which local government ecological concerns can impact stock price crash risk by reducing the quality of information disclosure and intensifying investor disagreement.