Prospects of Artificial Intelligence and Machine Learning Application in Banking Risk Management

IF 1.7 Q3 BUSINESS, FINANCE

Journal of Central Banking Theory and Practice Pub Date : 2021-09-01 DOI:10.2478/jcbtp-2021-0023

N. Milojević, S. Redzepagić

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引用次数: 13

Abstract

Abstract Artificial intelligence and machine learning have increasing influence on the financial sector, but also on economy as a whole. The impact of artificial intelligence and machine learning on banking risk management has become particularly interesting after the global financial crisis. The research focus is on artificial intelligence and machine learning potential for further banking risk management improvement. The paper seeks to explore the possibility for successful implementation yet taking into account challenges and problems which might occur as well as potential solutions. Artificial intelligence and machine learning have potential to support the mitigation measures for the contemporary global economic and financial challenges, including those caused by the COVID-19 crisis. The main focus in this paper is on credit risk management, but also on analysing artificial intelligence and machine learning application in other risk management areas. It is concluded that a measured and well-prepared further application of artificial intelligence, machine learning, deep learning and big data analytics can have further positive impact, especially on the following risk management areas: credit, market, liquidity, operational risk, and other related areas.

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人工智能和机器学习在银行风险管理中的应用前景

摘要人工智能和机器学习对金融部门以及整个经济的影响越来越大。全球金融危机后，人工智能和机器学习对银行风险管理的影响变得尤为有趣。研究重点是人工智能和机器学习在进一步改进银行风险管理方面的潜力。该文件试图探索成功实施的可能性，同时考虑到可能出现的挑战和问题以及潜在的解决方案。人工智能和机器学习有可能支持应对当代全球经济和金融挑战的缓解措施，包括新冠肺炎危机造成的挑战。本文的主要重点是信贷风险管理，但也分析了人工智能和机器学习在其他风险管理领域的应用。结论是，人工智能、机器学习、深度学习和大数据分析的深入应用可以产生进一步的积极影响，特别是在以下风险管理领域：信贷、市场、流动性、操作风险和其他相关领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Central Banking Theory and Practice BUSINESS, FINANCE-

CiteScore

2.80

自引率

57.10%

发文量

审稿时长

7 weeks

期刊介绍： Journal of Central Banking Theory and Practice is a scientific journal dedicated to publishing quality papers and disseminating original, relevant and applicable economic research. Scientific and professional papers that are published in the Journal of Central Banking Theory and Practice cover theoretical and practical aspects of central banking, monetary policy, including the supervision issues, as well as banking and management in central banks. The purpose of the journal is to educate the general public about the key issues that the central bankers globally face, as well as about contemporary research and achievements in the field of central banking theory and practice.