In this PLoS ONE article, Allen, Carbo, Chakravorti, Rodriguez, and Ardic use random forest estimation to 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...
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...