Economic Benefit of Powerful Credit Scoring

By Andreas Blöchlinger, Markus Leippold. 2006

175 citations recorded by the source corpus.

Subfields: Accounting, Finance

View Paper: https://www.semanticscholar.org/paper/cab60be93fe203c5b5ebc3d25121639a330dbcb0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Vineet Agarwal
2. Richard J. Taffler
3. V. Beattie
4. Julian Bauer
5. Claire Marston
6. Omaima A. G. Hassan

In Finance

1. Vineet Agarwal
2. Sessi Tokpavi
3. Christophe Hurlin
4. Elena Dumitrescu
5. Richard J. Taffler
6. Julian Bauer
7. V. Beattie

Citations in the corpus

• Comparing the Performance of Market-Based and Accounting-Based Bankruptcy Prediction Models (2006, methodology): “Blöchlinger and Leippold (2006) provide a method to link the power of different credit risk models to distinguish between good and bad loans, loan pricing and associated decision making.”
• Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021, background): “Other papers question the impact of credit scoring in terms of profitability among lenders (Stein and Jordao, 2003; Stein, 2005; Blöchlinger and Leippold, 2006).”