Fairness in Credit Scoring: Assessment, Implementation and Profit Implications

Citations

Cited by:

1. Henry Penikas, 2023. "Unaccounted model risk for Basel IRB models deemed acceptable by conventional validation criteria," Risk Management, Palgrave Macmillan, vol. 25(4), pages 1-25, December.
2. Zilong Liu & Hongyan Liang, 2025. "Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages," FinTech, MDPI, vol. 4(2), pages 1-16, June.
3. Sullivan Hué, 2022. "GAM(L)A: An econometric model for interpretable machine learning," French Stata Users' Group Meetings 2022 19, Stata Users Group.
4. Darshan Pandya & Killol Govani, 2025. "The future of fintech in the UAE and KSA: a shift from convenience to business viability," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 52(1), pages 7-15, March.
5. Topuz, Kazim & Urban, Timothy L. & Yildirim, Mehmet B., 2024. "A Markovian score model for evaluating provider performance for continuity of care—An explainable analytics approach," European Journal of Operational Research, Elsevier, vol. 317(2), pages 341-351.
6. Koen W. de Bock & Kristof Coussement & Arno De Caigny & Roman Slowiński & Bart Baesens & Robert N Boute & Tsan-Ming Choi & Dursun Delen & Mathias Kraus & Stefan Lessmann & Sebastián Maldonado & David , 2023. "Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda," Post-Print hal-04219546, HAL.
7. Lukas Jurgensmeier & Bernd Skiera, 2023. "Measuring Self-Preferencing on Digital Platforms," Papers 2303.14947, arXiv.org, revised Feb 2024.
8. Emmanuel Flachaire & Gilles Hacheme & Sullivan Hu'e & S'ebastien Laurent, 2022. "GAM(L)A: An econometric model for interpretable Machine Learning," Papers 2203.11691, arXiv.org.
9. Kazim Topuz & Akhilesh Bajaj & Kristof Coussement & Timothy L. Urban, 2025. "Interpretable machine learning and explainable artificial intelligence," Annals of Operations Research, Springer, vol. 347(2), pages 775-782, April.
10. Yutong Zhang & Xiaodong Zhao & Hailong Huang, 2025. "A Credit Risk Identification Model Based on the Minimax Probability Machine with Generative Adversarial Networks," Mathematics, MDPI, vol. 13(20), pages 1-15, October.
11. Pesenti, Silvana M. & Millossovich, Pietro & Tsanakas, Andreas, 2025. "Differential quantile-based sensitivity in discontinuous models," European Journal of Operational Research, Elsevier, vol. 322(2), pages 554-572.
12. Zha, Yong & Wang, Yuting & Li, Quan & Yao, Wenying, 2022. "Credit offering strategy and dynamic pricing in the presence of consumer strategic behavior," European Journal of Operational Research, Elsevier, vol. 303(2), pages 753-766.
13. Tigges, Maximilian & Mestwerdt, Sönke & Tschirner, Sebastian & Mauer, René, 2024. "Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
14. Xia, Yufei & Han, Zhiyin & Li, Yawen & He, Lingyun, 2025. "Credit scoring model for fintech lending: An integration of large language models and FocalPoly loss," International Journal of Forecasting, Elsevier, vol. 41(3), pages 894-919.
15. Anna Langenberg & Shih-Chi Ma & Tatiana Ermakova & Benjamin Fabian, 2023. "Formal Group Fairness and Accuracy in Automated Decision Making," Mathematics, MDPI, vol. 11(8), pages 1-25, April.
16. Lu, Xuefei & Calabrese, Raffaella, 2023. "The Cohort Shapley value to measure fairness in financing small and medium enterprises in the UK," Finance Research Letters, Elsevier, vol. 58(PC).
17. Li, Zhe & Liang, Shuguang & Pan, Xianyou & Pang, Meng, 2024. "Credit risk prediction based on loan profit: Evidence from Chinese SMEs," Research in International Business and Finance, Elsevier, vol. 67(PA).
18. Jos'e Pombal & Andr'e F. Cruz & Jo~ao Bravo & Pedro Saleiro & M'ario A. T. Figueiredo & Pedro Bizarro, 2022. "Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions," Papers 2207.06273, arXiv.org.
19. Dimitrios Nikolaidis & Michalis Doumpos, 2022. "Credit Scoring with Drift Adaptation Using Local Regions of Competence," SN Operations Research Forum, Springer, vol. 3(4), pages 1-28, December.
20. Jie Shi & Arno P. J. M. Siebes & Siamak Mehrkanoon, 2023. "TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start," Papers 2311.18749, arXiv.org.
21. De Bock, Koen W. & Coussement, Kristof & Caigny, Arno De & Słowiński, Roman & Baesens, Bart & Boute, Robert N. & Choi, Tsan-Ming & Delen, Dursun & Kraus, Mathias & Lessmann, Stefan & Maldonado, Sebast, 2024. "Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda," European Journal of Operational Research, Elsevier, vol. 317(2), pages 249-272.
22. Joseph L. Breeden & Eugenia Leonova, 2021. "Creating Unbiased Machine Learning Models by Design," JRFM, MDPI, vol. 14(11), pages 1-15, November.
23. Maarouf, Abdurahman & Feuerriegel, Stefan & Pröllochs, Nicolas, 2025. "A fused large language model for predicting startup success," European Journal of Operational Research, Elsevier, vol. 322(1), pages 198-214.
24. Silvana M. Pesenti & Pietro Millossovich & Andreas Tsanakas, 2023. "Differential Quantile-Based Sensitivity in Discontinuous Models," Papers 2310.06151, arXiv.org, revised Oct 2024.
25. Piccialli, Veronica & Romero Morales, Dolores & Salvatore, Cecilia, 2024. "Supervised feature compression based on counterfactual analysis," European Journal of Operational Research, Elsevier, vol. 317(2), pages 273-285.
26. Baesens, Bart & Smedts, Kristien, 2025. "Boosting credit risk models," The British Accounting Review, Elsevier, vol. 57(4).