Super-App Behavioral Patterns in Credit Risk Models: Financial, Statistical and Regulatory Implications
Luisa Roa,
Alejandro Correa-Bahnsen,
Gabriel Suarez
et al.
Abstract:In this paper we present the impact of alternative data that originates from an app-based marketplace, in contrast to traditional bureau data, upon credit scoring models. These alternative data sources have shown themselves to be immensely powerful in predicting borrower behavior in segments traditionally underserved by banks and financial institutions. Our results, validated across two countries, show that these new sources of data are particularly useful for predicting financial behavior in low-wealth and yo… Show more
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