Using four datasets of individuals’ digital payment and mutual fund investment records from a dominating fintech platform, we observe a robust U-shaped relation between individuals’ consumption and their financial wealth shocks. Contrary to the prediction of the wealth effect, individuals increase their consumption shortly after experiencing large positive and negative wealth shocks. The unexpected increase in consumption following negative wealth shocks is particularly pronounced among consumption categories with a “hedonic” nature, such as entertainment-related items. We show that this effect, termed “financial retail therapy,” is consistent with a dynamic model of Prospect Theory and evidence from a controlled laboratory experiment.

The past decade has witnessed a phenomenal rise of digital wallets, and the COVID-19 pandemic further accelerated their adoption globally. Such e-wallets provide not only a conduit to external bank accounts but also internal payment options, including the ever-popular Buy-Now-Pay-Later (BNPL). We examine, for the first time, e-wallet transactions matched with merchant and consumer information from a world-leading provider based in China, with around one billion users globally and a business model that other e-wallet providers quickly converge to. We document that internal payment options, especially BNPL, dominate both online and on-site transactions. BNPL has greatly expanded credit access at the extensive margin through its adoption in two-sided payment markets. While BNPL crowds out other e-wallet payment options, it expands FinTech credit to underserved consumers. Exploiting a randomized experiment, we also find that e-wallet credit through BNPL substantially boosts consumer spending. Nevertheless, users, especially those relying on e-wallets as their sole credit source, carefully moderate borrowing when incurring interest charges. The insights likely prove informative for economies transitioning from cash-heavy to cashless societies where digital payments and FinTech credit see the largest growth and market potential.

数字支付技术能像现金和国债那样，产生流动性溢价吗？对此，我们利用全球最大的数字支付平台（支付宝）进行估算。我们利用了以下事实：不同的货币市场基金进入该平台（因此可被用户持有和交易）的时间有先后。我们发现，一旦基金能被用于交易，它的规模平均增长了42倍。在此基础上，利用一个把基金视为不完全替代品的模型，数字支付技术的流动性溢价为年均1.0%-1.7%。

This paper examines how FinTech can lower investment barriers and help households move toward optimal risk-taking, using a unique account-level data on consumption, investments, and FinTech usage from Ant Group. During our sample period, China ex- perienced a rapid increase in FinTech penetration in the form of offline digital payment, and our measure of FinTech adoption is constructed relative to this fast-developing trend of new technology. Taking advantage of our consumption data, we further infer individuals’ risk tolerance from their consumption volatility. We find that, while Fin- Tech adoption improves risk-taking for all, the more risk-tolerant individuals benefit more from FinTech advancement. The magnitude of FinTech improvement is further quantified relative to the optimal alignment of risk-taking and consumption prescribed by Merton (1971). Aggregating to the city-level, we find significant variations in Fin- Tech adoption across cities in China, owing to the gradual spread of the new technology from Hangzhou to inner China. Examining the enhancement in risk-taking across ge- ographical locations, we find that cities with low financial-service coverage benefit the most from FinTech penetration. Overall, our results show that, by unshackling the traditional constraints, FinTech improves risk-taking for individuals who need it the most.