This paper investigates how factor clustering-based approach to segment and estimate a statistical-based credit score for small and medium enterprises (SMEs) involved in P2P lending. The approach explore the concept of familiarity which relies on the notion that, the more familiar/similar things...

This paper shows how to improve the measurement of credit scoring by means of factor clustering. The improved measurement applies, in particular, to small and medium enterprises (SMEs) involved in P2P lending. The approach explores the concept of familiarity which relies on the notion that the...

We propose a general methodology framework for eXplainable credit scoring to provide interpretability of each individual variable and measure fairness. Specifically, it is able to detect important variables and quantifies their individual impact on a firm’s credit classification via the...