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Machine Learning in Banking Risk Management: A Literature Review

Citations

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Cited by:

  1. John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace, 2021. "Know Your Clients’ Behaviours: A Cluster Analysis of Financial Transactions," JRFM, MDPI, vol. 14(2), pages 1-29, January.
  2. Claudia Antal-Vaida, 2020. "Business Analytics Applications for Consumer Credits," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(1), pages 14-23.
  3. Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
  4. Alfonso-Sánchez, Sherly & Solano, Jesús & Correa-Bahnsen, Alejandro & Sendova, Kristina P. & Bravo, Cristián, 2024. "Optimizing credit limit adjustments under adversarial goals using reinforcement learning," European Journal of Operational Research, Elsevier, vol. 315(2), pages 802-817.
  5. Morshadul Hasan & Ariful Hoque & Thi Le, 2023. "Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives," FinTech, MDPI, vol. 2(3), pages 1-26, July.
  6. Bauer, Kevin & Gill, Andrej, 2021. "Mirror, mirror on the wall: Machine predictions and self-fulfilling prophecies," SAFE Working Paper Series 313, Leibniz Institute for Financial Research SAFE.
  7. Anil Kumar & Suneel Sharma & Mehregan Mahdavi, 2021. "Machine Learning (ML) Technologies for Digital Credit Scoring in Rural Finance: A Literature Review," Risks, MDPI, vol. 9(11), pages 1-15, October.
  8. Pedro Guerra & Mauro Castelli, 2021. "Machine Learning Applied to Banking Supervision a Literature Review," Risks, MDPI, vol. 9(7), pages 1-24, July.
  9. Vikranth Lokeshwar Dhandapani & Shashi Jain, 2024. "Neural Networks for Portfolio-Level Risk Management: Portfolio Compression, Static Hedging, Counterparty Credit Risk Exposures and Impact on Capital Requirement," Papers 2402.17941, arXiv.org.
  10. Nenad Milojević & Srdjan Redzepagic, 2021. "Prospects of Artificial Intelligence and Machine Learning Application in Banking Risk Management," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(3), pages 41-57.
  11. Yuanfei Cui & Fengtong Yao, 2024. "Integrating Deep Learning and Reinforcement Learning for Enhanced Financial Risk Forecasting in Supply Chain Management," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 20091-20110, December.
  12. João Gabriel Moraes Souza & Daniel Tavares Castro & Yaohao Peng & Ivan Ricardo Gartner, 2024. "A Machine Learning-Based Analysis on the Causality of Financial Stress in Banking Institutions," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1857-1890, September.
  13. Paritosh Navinchandra Jha & Marco Cucculelli, 2021. "A New Model Averaging Approach in Predicting Credit Risk Default," Risks, MDPI, vol. 9(6), pages 1-15, June.
  14. Guerra, Pedro & Castelli, Mauro & Côrte-Real, Nadine, 2022. "Machine learning for liquidity risk modelling: A supervisory perspective," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 175-187.
  15. Kevin Jakob & Johannes Churt & Matthias Fischer & Kim Nolte & Yarema Okhrin & Dirk Sondermann & Stefan Wilke & Thomas Worbs, 2023. "Fast approximation methods for credit portfolio risk calculations," Digital Finance, Springer, vol. 5(3), pages 689-716, December.
  16. Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.
  17. Pejman Peykani & Mostafa Sargolzaei & Negin Sanadgol & Amir Takaloo & Hamidreza Kamyabfar, 2023. "The application of structural and machine learning models to predict the default risk of listed companies in the Iranian capital market," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-24, November.
  18. Jaydip Sen & Rajdeep Sen & Abhishek Dutta, 2021. "Machine Learning in Finance-Emerging Trends and Challenges," Papers 2110.11999, arXiv.org.
  19. Magdalena Zioło & Iwona Bąk & Anna Spoz, 2023. "Incorporating ESG Risk in Companies’ Business Models: State of Research and Energy Sector Case Studies," Energies, MDPI, vol. 16(4), pages 1-25, February.
  20. Luis J. Mena & Vicente García & Vanessa G. Félix & Rodolfo Ostos & Rafael Martínez-Peláez & Alberto Ochoa-Brust & Pablo Velarde-Alvarado, 2024. "Enhancing financial risk prediction with symbolic classifiers: addressing class imbalance and the accuracy–interpretability trade–off," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
  21. Hossein Hassani & Xu Huang & Emmanuel Silva & Mansi Ghodsi, 2020. "Deep Learning and Implementations in Banking," Annals of Data Science, Springer, vol. 7(3), pages 433-446, September.
  22. Patricia Jimbo Santana & Laura Lanzarini & Aurelio F. Bariviera, 2019. "Variations of Particle Swarm Optimization for Obtaining Classification Rules Applied to Credit Risk in Financial Institutions of Ecuador," Risks, MDPI, vol. 8(1), pages 1-14, December.
  23. Fadia Abduljabbar Saeed & Ghalia Nassreddine & Joumana Younis, 2024. "Network Attack Detection for Business Safety," Post-Print hal-04579363, HAL.
  24. Baolei Qi & Mohamed Marie & Ahmed S. Abdelwahed & Ibrahim N. Khatatbeh & Mohamed Omran & Abdallah A. S. Fayad, 2023. "Bank Risk Literature (1978–2022): A Bibliometric Analysis and Research Front Mapping," Sustainability, MDPI, vol. 15(5), pages 1-27, March.
  25. Bogdan Ionut Anghel & Radu Lupu, 2024. "Understanding Regulatory Changes: Deep Learning in Sustainable Finance and Banking," JRFM, MDPI, vol. 17(7), pages 1-13, July.
  26. Xu, Zhaoyi & Saleh, Joseph Homer, 2021. "Machine learning for reliability engineering and safety applications: Review of current status and future opportunities," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
  27. Kristof Lommers & Ouns El Harzli & Jack Kim, 2021. "Confronting Machine Learning With Financial Research," Papers 2103.00366, arXiv.org, revised Mar 2021.
  28. Ahmed Almustfa Hussin Adam Khatir & Marco Bee, 2022. "Machine Learning Models and Data-Balancing Techniques for Credit Scoring: What Is the Best Combination?," Risks, MDPI, vol. 10(9), pages 1-22, August.
  29. Keerthana Sivamayil & Elakkiya Rajasekar & Belqasem Aljafari & Srete Nikolovski & Subramaniyaswamy Vairavasundaram & Indragandhi Vairavasundaram, 2023. "A Systematic Study on Reinforcement Learning Based Applications," Energies, MDPI, vol. 16(3), pages 1-23, February.
  30. Przemys{l}aw Biecek & Marcin Chlebus & Janusz Gajda & Alicja Gosiewska & Anna Kozak & Dominik Ogonowski & Jakub Sztachelski & Piotr Wojewnik, 2021. "Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models," Papers 2104.06735, arXiv.org.
  31. Evaggelia Siopi & Thomas Poufinas & James Ming Chen & Charalampos Agiropoulos, 2023. "Can Regulation Affect the Solvency of Insurers? New Evidence from European Insurers," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 29(1), pages 15-30, May.
  32. Berthine Nyunga Mpinda & Jules Sadefo-Kamdem & Salomey Osei & Jeremiah Fadugba, 2021. "Accuracies of Model Risks in Finance using Machine Learning," Working Papers hal-03191437, HAL.
  33. Bauer, Kevin & Nofer, Michael & Abdel-Karim, Benjamin M. & Hinz, Oliver, 2022. "The effects of discontinuing machine learning decision support," SAFE Working Paper Series 370, Leibniz Institute for Financial Research SAFE.
  34. Haitao Lu & Xiaofeng Hu, 2024. "Enhancing Financial Risk Prediction for Listed Companies: A Catboost-Based Ensemble Learning Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 9824-9840, June.
  35. Marcin Pełka, 2019. "Symbolic decision stumps in individual credit scoring," Bank i Kredyt, Narodowy Bank Polski, vol. 50(6), pages 513-528.
  36. Mohammad Hossein Haghighi & Maryam Ashrafi, 2024. "A novel framework for risk management of software projects by integrating a new COPRAS method under cloud model and machine learning algorithms," Annals of Operations Research, Springer, vol. 338(1), pages 675-708, July.
  37. Pejman Peykani & Mostafa Sargolzaei & Mohammad Hashem Botshekan & Camelia Oprean-Stan & Amir Takaloo, 2023. "Optimization of Asset and Liability Management of Banks with Minimum Possible Changes," Mathematics, MDPI, vol. 11(12), pages 1-24, June.
  38. Ni Zhan, 2021. "Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits," Papers 2101.09230, arXiv.org.
  39. Noureddine Lehdili & Pascal Oswald & Othmane Mirinioui, 2024. "Leveraging Bayesian Quadrature for Accurate and Fast Credit Valuation Adjustment Calculations," Mathematics, MDPI, vol. 12(23), pages 1-27, November.
  40. Pedro Guerra & Mauro Castelli & Nadine Côrte-Real, 2022. "Approaching European Supervisory Risk Assessment with SupTech: A Proposal of an Early Warning System," Risks, MDPI, vol. 10(4), pages 1-23, March.
  41. Dmytro Kovalenko & Olga Afanasieva & Nani Zabuta & Tetiana Boiko & Rosen Rosenov Baltov, 2021. "Model of Assessing the Overdue Debts in a Commercial Bank Using Neuro-Fuzzy Technologies," JRFM, MDPI, vol. 14(5), pages 1-20, May.
  42. Masad A. Alrasheedi & Samia Ijaz & Ayed M. Alrashdi & Seung-Won Lee, 2025. "Advanced Tax Fraud Detection: A Soft-Voting Ensemble Based on GAN and Encoder Architecture," Mathematics, MDPI, vol. 13(4), pages 1-29, February.
  43. Bogdan POPA & Jenica POPESCU, 2023. "New Approaches to Financial and Bankruptcy Risk," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(25), pages 8-13, November.
  44. Abdullah Mohammed Sadaa & Yuvaraj Ganesan & Chu Ei Yet & Qutaiba Alkhazaleh, 2023. "The Impact of Corporate Governance Practices on Non-Performing Loans in Iraqi Banks; The Moderating Effect of Concentrated Ownership," Journal of Public Administration and Governance, Macrothink Institute, vol. 13(1), pages 3050-3050, December.
  45. Jyoti Ranjan Jena & Saroj Kanta Biswal & Avinash K. Shrivastava & Rashmi Ranjan Panigrahi, 2023. "A bibliographic overview of financial engineering in the emerging financial market," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2048-2065, December.
  46. Jing Quan & Xuelian Sun, 2024. "Credit risk assessment using the factorization machine model with feature interactions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
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