Using random forest estimation, we identify 14 key predictors out of 190 variables with the largest predictive power for MSMR adoption and usage of digital payments. Using conditional inference trees, we study the importance of sequencing and interactions of various factors such as public sector initiatives, technological advancements, and private...
In this report, Biasi and Chakravorti study the rapidly growing although extremely volatile initial coin offering (ICO) market. We identify which traditional markets are being disrupted by ICOs. We discuss the necessary infrastructure needed to support this market. We analyze market dynamics in terms of volatility, global presence, the impact...
Chakravorti and Kobor provide a framework to study the creation and adoption of innovations by payment providers and processors. The authors identify several motivating factors for banks and nonbanks to invest in payment innovations. In addition, they discuss the evolutionary process of payment innovations from inception to commoditization and recognize...