We examine the role of borrowers’ digital footprints in debt collection. Using a large sample of personal loans from a fintech lender in China, we find that the information acquired by the lender through borrowers’ digital footprints can increase the repayment likelihood on delinquent loans by 18.5%. The effect can be explained by two channels: bonding borrowers’ obligations with their social networks and locating borrowers’ physical locations. Moreover, the lender is more likely to approve loan applications from borrowers with digital footprints, even though these borrowers may occasionally have a higher likelihood of delinquency. The use of digital footprints can remain legitimate under stringent privacy protection regulations and fair debt collection practices. Our findings suggest that digital footprints, as a new type of collateral, can ultimately enhance financial inclusion by facilitating the lender’s collection of delinquent loans.

Financial repression—regulating interest rates below the laissez-faire equilibrium—has historically impeded investment in developing economies. In China, bank deposits were long subject to binding interest rate caps. Using transaction and local penetration data from a leading FinTech payment company, we study the FinTech’s introduction of a money market fund (MMF) with deposit-like withdrawal features but uncapped interest rates aids in interest rate liberalization. In aggregate, MMF assets grow rapidly, and banks whose deposit base was more exposed to the payment app see greater outflows. These outflows are concentrated in household demand deposits, for which the MMF is the closest substitute. Contrary to regulator concerns, exposed bank profitability does not decline. Rather, exposed banks invest more in financial innovation and are more likely to launch competing funds with similar features. Our results highlight how FinTech competition stimulates interest rate liberalization among traditional banks by introducing competition for funding.

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.

Over the past 150 years, finance has evolved into one of the world’s most globalized, digitized and regulated industries. Digitalization has transformed finance but also enabled new entrants over the past decade in the form of technology companies, especially FinTechs and BigTechs. As a highly digitized industry, incumbents and new entrants are increasingly pursuing similar approaches and models, focusing on the economies of scope and scale typical of finance and the network effects typical of data, with the predictable result of the emergence of increasingly large digital finance platforms. We argue that the combination of digitization, new entrants (especially BigTechs) and platformization of finance – which we describe as FinTech 4.0 and mark as beginning in 2019-2020 – brings massive benefits and an increasing range of risks to broader sustainable development. The platformization of finance poses challenges for societies and regulators around the world, apparent most clearly to date in the US and China. Existing regulatory frameworks for finance, competition, data, and technology are not designed to comprehensively address the challenges to these trends to broader sustainable development. We need to build new approaches domestically and internationally to maximize the benefits of network effects and economies of scope and scale in digital finance while monitoring and controlling the attendant risks of platformization of finance across the existing regulatory silos. We argue for a principles-based approach that brings together regulators responsible for different sectors and functions, regulating both on a functional activities based approach but also – as scale and interconnectedness increase – addressing specific entities as they emerge: a graduated proportional hybrid approach, appropriate both domestically in the US, China and elsewhere, as well as for cross-border groups, building on experiences of supervisory colleges and lead supervision developed for Globally Systemically Important Financial Institutions (G-SIFIs) and Financial Market Infrastructures (FMIs). This will need to be combined with an appropriate strategic approach to data in finance, to enable the maximization of data benefits while constraining related risks.

Using a unique FinTech data containing monthly individual-level consumption, investments, and payments, we examine how FinTech can lower investment barriers and improve risk-taking. Seizing on the rapid expansion of offline usages of Alipay in China, we measure individuals’ FinTech adoption by the speed and intensity with which they adopt the new technology. Our hypothesis is that individuals with high FinTech adoption, through repeated usages of the Alipay app, would build familiarity and trust, reducing the psychological barriers against investing in risky assets. Measuring risk-taking by individuals’ mutual-fund investments on the FinTech platform, we find that higher FinTech adoption results in higher participation and more risk-taking. Using the distance to Hangzhou as an instrument variable to capture the exogenous variation in FinTech adoption yields results of similar economic and statistical significance. Focusing on the welfare-improving aspect of FinTech inclusion, we find that individuals with high risk tolerance, hence more risk-taking capacity, and those living in under-banked cities stand to benefit more from the advent of FinTech.

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the Fintech phenomenon is forcing financial institutions around the world to develop superior financial services. Increased consumer and enterprise acceptance of digital banking, payments and financial data services have driven the wave of Fintech transactions in 2018. The Fintech revolution continues, but it does face numerous challenges. (edited by CFRN)

Open banking facilitates data sharing consented by customers who generate the data, with a regulatory goal of promoting competition between traditional banks and challenger fintech entrants. We study lending market competition when sharing banks’ customer data enables better borrower screening or targeting by fintech lenders. Open banking could make the entire financial industry better off yet leave all borrowers worse off, even if borrowers could choose whether to share their data. We highlight the importance of equilibrium credit quality inference from borrowers’ endogenous sign-up decisions. When data sharing triggers privacy concerns by facilitating exploitative targeted loans, the equilibrium sign-up population can grow with the degree of privacy concerns.