Jianing Zhang

This study delves into China’s carbon emissions trading markets, investigating the interplay between carbon price liquidity and stock liquidity. Focusing on 338 companies listed in the national and eight pilot markets of the carbon emissions trading system from August 2013 to October 2023, the empirical finding reveals a positive impact of carbon price liquidity on stock liquidity. Notably, this positive association manifests more robustly in industries characterized by low carbon intensity compared to those with high carbon intensity, is more prominent during the COVID-19 period than in preceding times, and is particularly accentuated in the Hubei Province and Chongqing, as opposed to the remaining seven regions. Intriguingly, both carbon price liquidity and stock liquidity display positive autocorrelations in vector autoregression analysis. The endogeneity concern is alleviated by the two-stage least squares regressions, using lagged carbon price liquidity as instrumental variables. This study contributes to an enhanced comprehension of the dynamic interaction between carbon price liquidity and stock liquidity contextualized within China’s evolving carbon market landscape. The insights garnered herein hold substantial value for investors and government stakeholders seeking to navigate this evolving financial terrain.

Acknowledgment
This research was supported by the Summer Student Partnering with Faculty Research Program of Wenzhou-Kean University (WKUSSPF202304), the Wenzhou Association for Science and Technology – Service and Technology Innovation Program (jczc0254), and the Department of Education of Zhejiang Province – General Program (Y202353438).

Researchers have scrutinized the link between investor sentiment and stock market liquidity globally, yet few have delved into this dynamic in emerging markets, especially China. Utilizing a sample of 1,839 publicly listed companies in China from 2010 to 2019, this study applies firm- and year-fixed-effects models to explore the nexus between investor sentiment and stock illiquidity, employing the Amihud measure for stock illiquidity assessment. The outcomes of these fixed-effect regressions illustrate a significantly positive relationship between investor sentiment and stock liquidity in the Chinese market. The positive link is more evident in scenarios characterized by high firm leverage, rapid revenue growth, larger corporations, greater institutional ownership, higher stock volatility, and lower book-to-market ratios. Intriguingly, this analysis incorporates the quadratic term of investor sentiment to examine the potential for a nonlinear dynamic between stock illiquidity and investor sentiment. The findings elucidate that the effect of investor sentiment on stock liquidity diminishes at elevated levels of sentiment, revealing a nonlinear inverse U-shaped relationship. The positive correlation between investor sentiment and stock liquidity persists across the three divisions of the Chinese Shenzhen Stock Exchange and remains robust using alternative liquidity measures, such as Roll’s impact and zeros impact. Addressing causality concerns, current investor sentiment appears to influence subsequent liquidity levels. These results provide valuable perspectives for policymakers, business executives, and investors in the stock market.

Acknowledgment
This research was funded by the Department of Education of Zhejiang Province General Program [Y202353438], the Wenzhou Association for Science and Technology—Service and Technology Innovation Program [jczc0254], the Wenzhou-Kean University Student Partnering with Faculty Research Program [WKUSPF2023004], and the Wenzhou-Kean University International Collaborative Research Program [ICRP2023002].

Amidst the escalating emphasis on sustainable development, numerous corporations and organizations have intensified their environmental, social, and governance (ESG) efforts. The internet sector, intrinsically linked to the ESG domain, has consequently garnered amplified scrutiny. This study delves into the correlation between ESG ratings and the stock performance of publicly listed Chinese companies in the internet sector from 2016 to 2020. The findings reveal that initiatives in the ESG sphere significantly and negatively influence stock performance in these firms, assessed through raw stock returns, stock excess returns relative to the market index, Jensen’s one-factor alpha, and the Fama-French three-factor alpha. This inverse correlation between ESG ratings and stock performance is nonlinear and convex, indicating a lessening negative impact at elevated ESG levels. Moreover, this adverse effect is more pronounced in value stocks compared to growth stocks. Predominantly manifesting before 2018, this negative trend diminishes amidst the COVID-19 period. The reverse causality analysis employing lagged ESG ratings suggests that higher ESG ratings precipitate reduced stock performance, as opposed to vice versa. This study bridges a gap in the existing literature concerning ESG and stock performance specific to the Chinese internet industry and proposes recommendations for its sustainable evolution.

Acknowledgment
This research was supported by the Department of Education of Zhejiang Province General Program (Y202249981, Y202353438), the Wenzhou Association for Science and Technology – Service and Technology Innovation Program (jczc0254), the Wenzhou-Kean University Student Partnering with Faculty Research Program (WKUSPF2023004), the Wenzhou-Kean University International Collaborative Research Program (ICRP2023002, ICRP2023004), and the Wenzhou-Kean University Internal Research Support Program (IRSPG202205, IRSPG202206).