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Cross-Domain Behavioral Credit Modeling: transferability from private to central data
This paper introduces a credit risk rating model for credit risk assessment in quantitative finance, aiming to categorize borrowers based on their behavioral data.
Machine Learning approach for Credit Scoring
In this work we build a stack of machine learning models aimed at composing a state-of-the-art credit rating and default prediction system, obtaining excellent out-of-sample performances.
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