Although sentiment-driven investors are believed to play an important role in the Chinese stock market, there are very few sentiment measures at the individual stock level based on their trading activities. Due to the unique “T+1” trading rule in China, the low overnight return of stocks reflects intensified trading activities from short-term speculators. Therefore, we construct a sentiment measure for individual stocks based on the close-to-open return (CTO). We find that CTO positively predicts future stock returns in the cross-section, supporting the idea that low CTO, as an indicator of sentiment-driven excess demand, leads to lower subsequent returns. This finding is not driven by firm-specific news and alternative explanations based on risks, investor attention, or investor underreaction. Further analyses suggest that investors overpay for low-CTO stocks because of their inherent preference for this type of stock.

The Treaty of Shimonoseki was signed in 1895 and led to the deregulation of Chinese private enterprise investment in state monopolized industries. Newly founded enterprises necessitated cooperation amongst member-owners for access to primitive capital. A spirit of cooperative behavior thus resulted in the birth of enterprises in China. We used Chinese prefecture-level panel data between 1880 and 1899 to demonstrate that an increase in the number of enterprises brought by the deregulation is more likely to form in regions that culturally nurture cooperative behavior. We also found a persistent influence of cooperative culture on foundation of enterprises today.

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.

Although firms suffer from regional climate risk in their production and operation, they are still highly expected by the public to play a leading role in addressing regional climate risk. In this paper, we study how regional climate risk affects corporate social responsibility (CSR). By constructing regional climate risk indicators and employing the OLS method to conduct empirical analyses, we find that regional climate risk can significantly promote CSR. Furthermore, regional climate risk can suppress firm’s cash flow, thereby exerting internal pressure on firms to assume CSR. Meanwhile, regional climate risk can raise higher public expectations for firms, imposing external pressure on them to assume CSR. We suggest that external pressure from the public plays a dominant role in CSR decision-making. Besides, we confirm that CSR can achieve a win-win goal for both firms and the public by mitigating the damage of regional climate risk on the firm’s long-term performance. We provide a new perspective for studying firm’s motivation to assume CSR under the influence of regional climate risk.

We study the role of firm heterogeneity and imperfect competition for global production networks and the gains from trade. We develop a quantifiable trade model with two-sided firm heterogeneity, matching frictions, and oligopolistic competition upstream. More productive buyers endogenously match with more suppliers, thereby inducing tougher competition among them to enjoy lower input costs and superior performance. Transaction-level customs data confirms that downstream French and Chilean firms import higher values and quantities at lower prices as upstream Chinese markets become more competitive over time, with stronger responses by larger firms. Moreover, suppliers charge more diversified buyers lower mark-ups. Counterfactual analysis indicates that entry upstream benefits high-productivity buyers, while lower matching or trade costs benefit all buyers, with the biggest boost to mid-productivity buyers. All three shocks generate sizeable welfare gains, especially under package reforms. Global production networks thus mediate bigger effects and cross-border spillovers from industrial and trade policies.

The use of green finance to slow down global warming in support of sustainable development remains widely discussed. This study examines whether investment structure moderates the impact of green finance on the environment in China, one of the top carbon-emitting nations and the second-largest economy in the world. We primarily used the moments-quantile regression approach with fixed-effect models on panel data from 1992Q1 to 2020Q4. First, the results confirmed that green finance and public and private investments worked synergistically to lower CO2 emissions, especially in Central and Western China. However, there was no proof that green finance and foreign direct investment were complementary in reducing CO2 emissions in China, unlike the Central region. Second, green finance marginally lowered CO2 emissions in all provinces, mainly in Eastern and Western China; this reduction was largely dependent on private investment in the Western region’s most polluting areas and foreign direct investment in Eastern and Western China’s least polluting provinces. Third, the beneficial effect of green finance occurred at varying optimal thresholds and investment-related conditions across Chinese regions at different quantiles. Lastly, we showed that in contrast to the variable impacts of urbanization, oil prices, and economic growth across Chinese regions at different quantiles, renewable energy, and trade openness reduced CO2 emissions. In conclusion, the study makes some policy recommendations for China’s sustainable economic development, an important model from which other countries can tailor their investment strategies and environmentally friendly policies.

Owing to the liberalisation of financial markets, the impact of international capital flows on the Chinese stock market has become substantial. This study investigates the effects of economic policy uncertainty (EPU), geopolitical risk (GPR), consumer sentiment (CCI), macroeconomic fundamentals (MECI), and money supply (M2) on the correlations between the stock and exchange rate markets. The negative correlation between these two markets has become more pronounced in recent years. Moreover, EPU, GPR, CCI, and MECI negatively impact long-term stock-exchange rate correlations, while M2 has a positive impact. Portfolios of stock-exchange rates effectively reduce risk, especially when considering structural breaks.

金融资产因子结构映照着风险与收益的权衡，因子模型能否同样描绘期权收益？期权合约存续时间极短、风险敞口变化频繁，难以应用传统因子模型进行定价。工具主成分分析方法（IPCA）提供了新的解决方案，动态风险载荷形式与期权风险特征高度吻合。本文尝试采用IPCA模型揭示上证50ETF期权的因子结构。研究结果表明，三因子IPCA模型能够解释超过87%的单个期权收益变化和超过99%的投资组合收益变化，表现优于现有的期权因子模型以及静态PCA模型。IPCA因子与期权在值状态偏度、剩余期限斜率以及Gamma价值紧密联系，能够解释40%至60%的因子变化。本文的研究对于优化投资组合风险管理具有重要意义，有助于监管者提高期权市场定价效率，促进衍生品市场稳健发展。

Using Chinese data, we find that analysts’ earnings forecasts are more accurate and less biased when analysts are socially connected with the company’s signatory auditor. We also find that forecast performance improves following mandatory auditor rotations that result in new analyst-auditor connections and declines following mandatory rotations that terminate existing connections. We further find that our results become stronger when the information that auditors possess is likely to be more useful to analysts, that connected analysts have better career outcomes than unconnected analysts, and that investors and other analysts are more responsive to forecast revisions issued by connected analysts. Finally, we find that connected auditors provide higher quality audits to their connected clients and are more likely to retain those clients. Overall, our findings are consistent with connected analysts benefitting from private information obtained from their social connections with auditors by providing better earnings forecasts, and in turn, with auditors benefitting from information they receive from connected analysts by delivering higher quality audits that improve client retention.

The 2020 Holding Foreign Companies Accountable (HFCA) Act will force China-based firms to delist from U.S. exchanges if China fails to permit audit inspections during a two-year period. The Act also requires such firms, as soon as China blocks such inspections, to disclose ties to the Chinese party-state. We first explain why the delisting provisions, while well-intentioned, may well harm U.S. investors. We then turn to the disclosure provisions, explaining that they appear to be motivated by a desire to name-shame Chinese firms rather than to protect investors. While China-based firms do pose unique risks to U.S. investors, the Act fails to mitigate—and may well exacerbate—these risks.