Unlocking Causal Relationships in Commercial Banking Risk Management: An Examination of Explainable AI Integration with Multi-Factor Risk Models-Reference-Cited by-同舟云学术

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Unlocking Causal Relationships in Commercial Banking Risk Management: An Examination of Explainable AI Integration with Multi-Factor Risk Models

Published:2023 Issue:03 Volume:12 Page:262-274
ISSN:2167-9533
Container-title:Journal of Financial Risk Management
language:
Short-container-title:JFRM

Author:

Hu Bing,Wu Yi

Publisher

Scientific Research Publishing, Inc.

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Reference13 articles.

1. Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory

2. Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

3. Explainable Machine Learning in Credit Risk Management

4. Anomaly detection

5. European Central Bank (ECB) (2017). Occasional Paper Series. Macroprudential Stress Test of the Euro Area Banking System. https://www.ecb.europa.eu/pub/pdf/scpops/ecb.op226~5e126a8e37.en.pdf

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Credit Risk Analysis using Explainable Artificial Intelligence;Journal of Soft Computing Paradigm;2024-09

2. Revolutionizing the Financial Landscape;Advances in Finance, Accounting, and Economics;2024-05-14

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