Innovative credit scoring modeling using textual and social network data.

It is the purpose of this research project to come up with new, original and groundbreaking approaches for credit risk modeling through innovations in input data to model different aspects of credit risk. For financial institutions, it is important to know which input data has the best prediction performance, how these data should be handled and which intrinsic characteristics should be taken into account to obtain the most accurate credit risk prediction. This research project will focus on the potential of social network and textual input data, and consists of four research objectives

Keywords:RISK ANALYSIS, CREDIT FINANCING

Disciplines:Applied economics