Regression modelCredit risk

Credit Scoring (Scorecards, WoE/IV)

Credit scoring is a statistical technique that estimates the probability that a borrower will default on a financial obligation. Using Weight of Evidence (WoE) binning, Information Value (IV) variable selection, and logistic regression, it converts raw applicant data into a single integer score. Formalized by Hand and Henley (1997) and elaborated by Thomas, Edelman, and Crook, the scorecard framework has become the regulatory standard for retail credit risk assessment in banking, lending, and insurance.

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Sources

  1. Hand, D. J., & Henley, W. E. (1997). Statistical classification methods in consumer credit scoring: a review. Journal of the Royal Statistical Society: Series A, 160(3), 523–541. DOI: 10.1111/j.1467-985X.1997.00078.x

Related methods

Referenced by

ScholarGateCredit Scoring (Credit Scoring (Scorecards, WoE/IV)). Retrieved 2026-06-04 from https://scholargate.app/tr/finance/credit-scoring