Regulatory learning: How to supervise machine learning models? An application to credit scoring
The arrival of Big Data strategies is threatening the latest trends in financial regulation related to the simplification of models and the enhancement of the comparability of approaches chosen by financial institutions. Indeed, the intrinsic dynamic philosophy of Big Data strategies is almost incom...
Main Authors: | Dominique Guégan, Bertrand Hassani |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2018-09-01
|
Series: | Journal of Finance and Data Science |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405918817300648 |
Similar Items
-
Credit Risk Analysis Using Machine and Deep Learning Models
by: Peter Martey Addo, et al.
Published: (2018-04-01) -
To supervise or to self-supervise: a machine learning based comparison on credit supervision
by: José Américo Pereira Antunes
Published: (2021-04-01) -
From credit scoring to regulatory scoring: comparing credit scoring models from a regulatory perspective
by: Yufei Xia, et al.
Published: (2022-12-01) -
Machine Learning Approach for Credit Score Predictions
by: Tsholofelo Mokheleli, et al.
Published: (2023-05-01) -
Concept of Peer-to-Peer Lending and Application of Machine Learning in Credit Scoring
by: Aleksy Klimowicz, et al.
Published: (2021-12-01)