Corporate philanthropy is increasingly seen as an effective way to promote social equity. This paper estimates the effect of donation tax deduction policy on corporate donations. Using data from Chinese A-share listed companies, we find that the donation tax deduction policy has a significant positive effect on the amount donated. This finding remains robust to a number of robustness tests. Meanwhile, our study also suggests that the policy increases donation participation. Finally, heterogeneity analysis suggests that the effect is significant only for firms with high media attention and political connections. Our findings provide important evidence for the optimizing of social welfare.

The asymmetric dissemination of information among financial firms in the financial market reflects their asymmetric response to the dissemination of both positive and negative information. However, it is worth studying whether this asymmetry will intensify or alleviate under different financial market conditions. Based on high-frequency minute stock price data of Chinese A-share listed financial firms from July 2020 to July 2023, we decompose the good and bad information, as well as the positive and negative volatility information in the return series. We utilize the quantile cross-spectral correlation method to construct an information overflow network at monthly intervals. We use the MVMQ-CAViaR model to estimate the value at risk (VaR) for various quantiles and build a risk spillover network that incorporates both positive and negative tail risk information, using the quantile dynamic SIM-COVAR-TENET model. We calculated the network dissemination efficiency of both good and bad information, including average speed, speed deviation, densest speed, and depth, to explore the changes in the asymmetry of good and bad information dissemination under different financial market conditions. We get that when the financial market is booming, financial firms’ asymmetric response to good and bad information will increase, and the firms will pay more attention to bad information. When the financial market declines, the asymmetric response of financial firms to good and bad information is diminished, and their sensitivity to both positive and negative information is heightened. In addition, the dissemination of bad information by firms in the five sub-financial industries across various markets exacerbates the asymmetric response of other financial firms to good and bad information. More importantly, the release of positive return information, negative volatility information, and highly negative tail risk information by the real estate financial firms all impact the asymmetric response of financial firms to good and bad information in a prosperous financial market. In recessionary financial markets, financial regulators can strategically release positive information to mitigate the decline in the financial market. Conversely, in a booming financial market, financial regulators should be cautious of the negative impact that bad information can have on financial firms, particularly in relation to the excessive growth of the real estate sector and the potential chain reaction of significant adverse events.

This study examines the impact of quantitative investment on stock price crash risk from the perspective of quantitative mutual funds holdings. The results show that quantitative mutual funds holdings can significantly reduce stock price crash risk, and this effect is more pronounced in subsamples characterized by executives with overseas backgrounds, higher internal governance efficiency, greater analyst attention, and higher profit volatility. Further research finds that quantitative mutual funds holdings can suppress the risk of stock price crash by smoothing the volatility of stock returns and optimizing the valuation of firms. This study sheds light on the effects of quantitative investment on stock price crash risk.

Factoring financing is the most widely used form of supply chain finance, which has been adopted by more and more enterprises. The existing literature focuses on the motivation of suppliers to adopt factoring financing and the factors that affect the development of factoring. However, little attention is paid to the results of factoring. This study uses the event study method, draws on the Extended Resource based theory (ERBT), discussing how the factoring business announcement affects the stock market value of listed companies from the perspective of competitive advantage and the firm's own characteristics. By manually collecting 205 factoring business announcements from 115 Chinese listed companies from October 2019 to December 2022, we found that: (1) from the perspective of competitive advantage, the announcement of factoring business by non-Combination of Industry and Finance enterprises or their holding enterprises has more positive impact on the stock price of the enterprises. There is no obvious relationship between the size of factoring quota and stock price. (2) From the perspective of the enterprise's own characteristics, the announcement of factoring business by state-owned enterprises and small-scale enterprises can have a positive impact on the stock price of the enterprise. Before and after the Civil Code came into effect, there was no significant difference in the relationship between factoring business announcements and stock prices. This study uses secondary data to fill the gap in the study of the impact of factoring announcements on stock market value. This paper discusses the relationship between factoring business announcement and stock market value from the perspective of competitive advantage for the first time, providing theoretical guidance for managers to adopt factoring business under what circumstances. In addition, this study also provides documentation for the empirical study of factoring business announcements in China.

While cities piloting China’s Social Credit System attract attention, rural areas in China are experimenting with reputation-based credit systems called ‘banks of virtue’. These local institutions unlock cheap loans and other benefits for citizens who prove virtuous character. Based on empirical data, this article investigates how banks of virtue combine techniques of metrics known from capitalist credit systems with an inherently localized and personal evaluation procedure. As hybrid forms of organizing access to credit, this article argues, banks of virtue of er an alternative, rural answer to the ‘right to credit’ that emerged in debates concerning capitalist economies. While they combine multiple goals of the national rural revitalization and Social Credit System strategies, such as the creation of a ‘civilized’ rural society and the allocation of credit to small businesses and households, their reliance on citizen participation casts doubts over their capacity to achieve these goals.

This study introduces a novel factor model based on self-attention mechanisms. This model effectively captures the non-linearity, heterogeneity, and interconnection between stocks inherent in cross-sectional pricing problems. The empirical results from the Chinese stock market reveal compelling ffndings, surpassing other benchmarks in terms of profftability and prediction accuracy measures, including average return, Sharpe ratio, and out-of-sample R2. Moreover, this model demonstrates both practical applicability and robustness. These results provide valuable evidence supporting the existence of the three aforementioned properties in crosssectional pricing problems from a theoretical standpoint, and this model offers a powerful tool for implementing profftable long-short strategies.

This study investigates the impact of the land rental market (LRM) on labor productivity in rural China. Particular attention is given to farm and non-farm labor productivity. Using 2012 household-level data and a multinomial endogenous switching treatment regression (MESTR) technique, we find that rural households renting-in farmland increased labor productivity in the farm sector by about 55%, while labor productivity in the non-farm sector decreased by about 6%. We also find that rural households renting-out farmland had lower labor productivity in both the farm and non-farm sectors by 13% and 9%, respectively. More family labor transferred from the farm to the non-farm sector after renting-out land.

This paper examines the effects of superstitious psychology on investors’ decision making in the context of Mercury retrograde, a special astronomical phenomenon meaning “everything going wrong”. Using natural experiments in the Chinese stock market, we find a significant decline in stock prices, approximately -3.14% in the vicinity of Mercury retrogrades, with a subsequent reversal following these periods. The Mercury effect is robust after considering seasonality, the calendar effect, and well-known firm-level characteristics. Our mechanism tests are consistent with model-implied conjectures that stocks covered by higher investor attention are more influenced by superstitious psychology in the extensive and intensive channels. A superstitious hedge strategy motivated by our findings can generate an average annualized market-adjusted return of 8.73%.

This paper investigates how noise trading behavior is influenced by limited attention. As the daily price limit rules of the Chinese stock market provide a scenario for the exhibition of salient payoffs, speculators elevate prices to attract noise traders into the market. Utilizing a series of distraction events stemming from mobile games as exogenous shocks to investors’ attention, we find that the gambler-like behavior, termed as “Hitting game” is crowded out. Consistent with our attention mechanism, indicators such as trading volume decline in response to these game shocks.

Drifting in the direction of earnings surprises for a prolonged period is a decades-puzzling financial anomaly, i.e., the “post-earnings-announcement drift” (PEAD). This paper provided a new simple measure of earnings surprise called ORJ. Based on ORJ, not only is the medium effect of investors’ attention on the relationship between earnings surprises and PEAD analyzed, but a tractable and profitable investing strategy is provided. Through comprehensive empirical analysis of the Chinese stock market, we found that i) both earnings surprises and investor attention can increase the degree of PEAD; ii) “good” (bad) earnings surprises strengthen (weaken) the degree of drift by attracting (decreasing) investor attention; it is asymmetric that the positive effects of “good” earnings surprises are stronger than that of “bad” earnings surprises on PEAD; and iii) the strategy obtains an average 6.78% return per quarter in excess of the market and only longs dozens of stocks . iv) Typical pricing factors such as the Fama-French three factors, illiquidity and company characteristics have little explanatory power for the returns of the strategy. This paper strongly shows the importance of monitoring overnight returns of earnings announcements to digging the unexpected information, reveals one mechanism of earnings surprises on PEAD and demonstrates the potential profitability of PEAD in the Chinese market.