With fintech growth and smartphone adoption, e-wallets, which enable instant transactions while offering cash management products with financial returns, have become increasingly prevalent. Using a unique dataset from Alipay, the world’s largest e-wallet provider, we find that holdings in Yu’EBao—an investment product usable for payments—are less affected by interest rate changes than similar assets without payment functions. This effect is stronger for users who depend on Yu’EBao for daily spending, during peak payment periods, or among less experienced investors. Our findings show that Yu’EBao reduces retail fund flow to riskier assets by 7.7% for every one-percentage-point interest rate cut, dampening monetary policy transmission through the portfolio rebalancing channel.

This paper examines the influence of gambling culture on household investment decisions concerning risky financial assets. To estimate these effects, the study utilizes data from the 2019 China Household Finance Survey. The empirical findings reveal that gambling culture significantly enhances household preferences for risky financial assets and raises the proportion of household allocations to these assets. Furthermore, both subjective financial literacy and objective financial literacy amplify these positive effects. The heterogeneity analysis revealed that the effects of gambling culture on household preference for and allocation of risky financial assets varied across regions, income levels, and household types.

The aging population is expanding globally, and addressing the challenges of elderly care is urgent. Using the 2019 China Household Finance Survey data, this study finds that commercial pension insurance significantly promotes households’ allocation of risky financial assets. We test the mechanisms using household risk perception and investment risk preference as mediating variables. Heterogeneity analysis reveals that the positive effect of commercial pension insurance on risky financial asset allocation is more significant in rural households with household registration, those with two sets of housing, and households in the northeast. The research findings of this article aim to promote the continuous improvement of China’s elderly care system and provide important empirical evidence for the formulation of relevant policies.

We study the effects of mortgage debt and informal home loans on stock ownership. Mortgage debt is typically originated with licensed financial institutions while informal home loans are obtained from private lending. Using the China Household Finance Survey data, we show that mortgage debt has a positive relationship, while informal home loans have a negative relationship, with a household’s likelihood and degree of subsequent stock market participation. Instrumental variable estimates identify a causal impact of these effects. Further tests demonstrate cross-sectional variations of these effects across urban development, education, financial literacy, loan interest rate, maturity, and funding sources.

There are large regional disparities in relation to the development of digital finance in China. This study expands on the human–land relationship to analyze the impact of terrain relief on digital finance adoption using China Household Finance Survey data. The results show an inverted U-shaped relationship. Further, mechanism analysis indicates that terrain relief influences the wealth creation environment and stimulates the likelihood of entrepreneurship, especially through small and medium-sized enterprises. In addition, the impact is more pronounced in rural and western areas. These findings provide insights enabling the development of a more inclusive financial system.

This paper comprehensively examines how subjective well-being (SWB) is influenced by various aspects of housing — tenure, living conditions, and housing values — based on an individual panel from the China Household Finance Survey. We employ a two-way fixed effects model to reduce the endogeneity problems of housing choices. Our findings suggest that housing plays a comparable role to income and wealth in SWB and that housing inequality and living experience both matter a great deal. Moreover, the positive impacts of home ownership on SWB reported by prior research are likely quality of life effects masked in home ownership. Results are robust to ordered logistic estimation with individual fixed effects. What we document carries important implications for housing policies, and these are generalizable to other countries.

Does the ancient farming culture shape the risk-taking behavior of households today? Using a dataset covering over 130,000 households from a Chinese national survey, our study examines the relationship between the culture of rice cultivation and the financial behavior of modern households. We find that households in regions with a higher rate of historical rice cultivation are more likely to invest in the financial market and buy lottery, but less likely to purchase insurance. We also find that the rice area has more households with risk preferences consistent with prospect theory expectations. To account for omitted variable bias, we use average regional rainfall and downstream distance to ancient irrigation systems as instrumental variables for rice cultivation, and our results remain robust. We find that the rice effect cannot be explained by regional economic development, traditional Confucian values, or ethnic diversity. To explore potential mechanisms, we find that households in rice regions are more likely to borrow money from friends and relatives and have interest waived, and historical commercial development has also been influenced by the rice culture.

Using unique data on Alipay users' investment accounts, we find that, in addition to generating better performance than investors’ self-directed portfolios, robo-advising has a positive spillover effect on its adopters in terms that it improves their investment behaviors. Investors have more diversified portfolios and exhibit fewer behavioral biases in portfolio management and fund choices in their self-directed accounts after adopting robo-advising. The spillover effect is more prominent for adopters who interact with the service more actively and who were less sophisticated before adopting the app. We also find that adopters learn from the robo-advisor by simply imitating its portfolios or strategies. Collectively, this study provides large-sample, non-laboratory evidence that robo-advising effectively plays a role in educating investors through repeated interactions with its adopters and setting investment models that are easy to follow.

We examine how stakes affect investor behaviors. In our unique setting, the same investors trade stocks in real accounts using their own money and, at the same time, trade in a simulated setting. Our real-world within-investor estimation produces strong evidence that investors exhibit stronger biases and perform worse in their higher-stakes real accounts than in their lower-stakes simulated accounts. Even with no monetary stakes, investors exhibit strong biases in their simulated accounts, and biases in the two types of accounts are strongly positively correlated. Such behavioral consistency suggests that low-stakes experimental methods, although imperfect, can be informative about real-world human behaviors. Using account data from two brokerage companies, we find that investors exhibit a stronger disposition effect on positions with greater portfolio weight. Hence, the finding that stakes-strengthening-biases may not be unique to the comparison between no-monetary and high-monetary stakes.

Using unique survey data from the China Household Finance Survey, we estimate the extent of “narrow framing”, which is a widely documented behavioral bias, among Chinese households, using their portfolio choices. Conditional on stock market participation, we find that most Chinese households exhibit significant narrow framing. Based on the obtained estimates, we show that narrow framing positively predicts the extent of under diversification. Most importantly, we argue that narrow framing is an irreplaceable of understanding households’ portfolio choices, even after considering measurement error and a wide set of indicators of diversification