I derive two innovative metrics, capturing the demand and the excess demand for prosocial P2P loans in the US. The measures are based on a data set comprising prosocial P2P loan applications obtained from the US P2P lending platform Kiva for the period of November 2011 to December 2022....

Government leaders around the world are designing national strategies to improve financial inclusion for populations traditionally excluded from the financial markets. Financial literacy is a key tool being used to bring economically vulnerable populations into the financial mainstream. Data...

By "hostility to cash" we refer to the recent trend of incentivizing individuals towards a (privately managed) digital payment system driven by banking and financial sectors and supported by Governments. COVID-19 has on the one hand boosted this movement, with false messages about banknotes...

Financial innovation in the form of new delivery channels, products, and providers has helped push out the frontier of access to finance and thus increase the bankable and banked population. Mobile money and crowdfunding platforms are prime examples for this. The same financial innovation has...

We apply text analysis to Twitter messages in Spanish to build a sentiment- based risk index for the financial sector in Mexico. We classify a sample of tweets for the period 2006-2019 to identify messages in response to positive or negative shocks to the Mexican financial sector. We use a...

The annual percentage rate of charge (APRC) designed to reflect all costs of borrowing is a widely used measure to compare different credit products. It disregards completely, however, risks of possible future changes in interest and exchange rates. As an unintended consequence of the general...

We explore the sources of racial disparities in small business lending by studying the $806 billion Paycheck Protection Program (PPP), which was designed to support small business jobs during the COVID-19 pandemic. PPP loans were administered by private lenders but federally guaranteed, largely...

We build a textual score measuring the tone of bank earnings press release documents. We use this measure to define bank manager sentiment as the variation in the textual tone score which is orthogonal to bank-specific and macroeconomic fundamentals. Using this definition of sentiment, we...

Using hand-collected data spanning more than a decade on European banks' sovereign debt portfolios, we show that the trust of residents of a bank's countries of operation in the residents of a potential target country of investment has a positive, statistically significant, and economically...

Within the framework of a laboratory experiment, we examine to what extent algorithm aversion acts as an obstacle in the establishment of robo advisors. The subjects had to complete diversification tasks. They could either do this themselves or they could delegate them to a robo advisor. The...