Starting from the change in decision-makers’ risk attitude, which suggests “an increase in risk leads to a heightened tendency for risk aversion”, this study explores the nonlinear relationship between idiosyncratic risk and corporate cash holdings. Empirical analysis results indicate that, with the enhancement of decision-makers’ risk-averse degree, the marginal increase in corporate cash holdings presents an upward trend as idiosyncratic risk rises. Associated with the changes in managers’ risk attitude, the nonlinear relationship between idiosyncratic risk and corporate cash holdings becomes insignificant when the firm purchases directors’ liability insurance or is located in regions with better business environments. However, if the executives are older or hold academic titles, the increase in corporate cash holdings with the rise of idiosyncratic risk is more rapid.

Based on three key principles, "equity, openness, and sharing," this paper assesses the relationship, and the internal mechanism driving the relationship, between urban inclusiveness and resident entrepreneurship. This includes constructing an urban inclusiveness index, and analyzing data from the 2018 China General Social Survey (CGSS). The key results indicate that multi-perspective urban inclusiveness has a significant positive effect on resident entrepreneurship. The mechanism analysis shows that urban inclusiveness can improve the probability of residents being entrepreneurial, by improving risk attitude, promoting class mobility, and expanding social networks. A heterogeneity analysis shows that urban inclusiveness has a significant impact on the entrepreneurial choice of local residents, and low-class and high-class residents; urban inclusiveness has no significant impact on the entrepreneurial choice of transient residents and middle-class residents. In addition, urban inclusiveness plays a more significant role in promoting residents’ choice of survival entrepreneurship, compared with opportunistic entrepreneurship. The research conclusions have important policy implications for constructing inclusive cities and for promoting innovation and entrepreneurship vitality.

Evidence from the U.S. and Europe suggests that current risk assessment tools used by researchers and financial professionals to determine individuals’ risk tolerance and provide suitable portfolio recommendations may be flawed due to “mis”perceptions of risk. Limited research has examined the reliability of these tools as measures of relative risk tolerance for households in emerging economies like China. This study develops a multidimensional index of risk tolerance specifically tailored for Chinese households using a psychometric approach. The effectiveness of this multidimensional index in predicting individuals’ financial decisions is tested and compared to traditional unidimensional measures of risk tolerance commonly used in developed countries. The findings indicate that multidimensional measures are more consistent and significant predictors of Chinese households’ investment decisions. Additionally, the study uncovers evidence that cultural differences, related to market expectations and social networks, which are often overlooked in U.S. and European models, play a crucial role in shaping individuals' risk perceptions and investment choices in China. Robustness checks were conducted to account for potential endogeneity between risk tolerance and investment decisions. The findings provide valuable insights for researchers and financial professionals seeking to develop more accurate risk assessment tools that capture risk attitudes and perceptions in China and other developing countries. By adopting a multidimensional approach that accounts for cultural and psychosocial factors, these improved tools can enhance the precision of risk evaluation and facilitate more appropriate investment recommendations.

We compare the differences between the Chinese and U.S. bond risk premia. We find that the expectations hypothesis fails in the two bond markets: We identify the Chinese and U.S. bond time-varying risk premia by forecasting the corresponding excess return of n-year bond using the n-year forward rate and n-year forward spread, respectively. To focus on the systematical forecasts, we then combine the forward rates at different maturities as the return-forecast factors. Unlike the one-factor model introduced by Cochrane and Piazzesi (2005), a two-factor model including level- and slope-based factors explains significantly Chinese bond premia with R2 up to 68%. More importantly, the slope-based factor sharply improves the performance of test. The results are robust with respect to measurement errors, multicollinearity and small-sample biases. Out-of-sample tests show that, in recent years, the U.S. bond market changes drastically, and tends to be like the Chinese market. We use the empirical results to calibrate the parameters of affine model, and find that the differences of bond premia between the two markets are caused by the differences of dynamics of state variables and risk attitude of investor.