Having access to credit is essential for households to address the volatility of their personal finances over time and for firms to fund their investments. Accessing financial services at affordable cost on the other hand, is crucial to ensure financial security of all economic units. Despite...

The financial technology (fintech) sector is revolutionizing traditional financial practices, yet little information exists on the users of these services. In this study, we examine untapped information from the 2015 National Financial Capability Study and the 2016 GFLEC Mobile Payment Survey to...

The central issue of this paper is analysis and resulting proposals to help unsophisticated pension participants achieve pension portfolios that match their level of risk aversion when there is a large amount of unexplained heterogeneity in risk aversion. Target date funds are commonly used as...

A growing literature examines the roles of financial literacy in an individual's income, saving behavior, and the use of financial products including financial technology (fintech). However, no study has examined the effects of the financial literacy of family business owners on fintech use and...

This study seeks to contribute to the understanding of the underlying factors that can explain the high levels of financial exclusion that persist in Mexico, with focus on the role of financial literacy. Our analysis is based on the 2018 National Survey of Financial Inclusion in Mexico (ENIF)....

We report the results of a longitudinal intervention with students across five universities in China designed to reduce online consumer debt. Our research design allocates individuals to either a financial literacy treatment, a self-control training program, or a zero-touch control group....

This paper examines global data on unbanked and underbanked consumers to highlight the role improved financial literacy and capability could play in motivating and enabling the safe and beneficial use of financial services. The paper uses Global Findex data, a demand-side survey on ownership and...

This study explores whether financial literacy can enhance the ability to predict credit default by farmers using machine-learning models. It introduces a hybrid model combining k-means clustering and Adaboost to predict loan default using data on 10,396 farmers who obtained credit from Chinese...