机器学习对英国金融服务的影响。

IF 2.1 2区 经济学 Q2 ECONOMICS
Oxford Review of Economic Policy Pub Date : 2021-09-23 eCollection Date: 2021-01-01 DOI:10.1093/oxrep/grab016
Bonnie G Buchanan, Danika Wright
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引用次数: 11

摘要

机器学习对金融服务行业的影响越来越大。在本文中,我们回顾了机器学习(ML)和人工智能(AI)在英国金融服务业中的作用和影响。我们调查了英国当前的AI/ML领域。机器学习在欺诈和合规、信用评分、财务困境预测、机器人咨询和算法交易等领域产生了相当大的影响。我们用英国的例子来研究这些应用。我们还审查了机器学习应用程序对金融服务的监管和治理的重要性。最后,我们评估了机器学习在Covid-19大流行期间的表现,并对未来的研究方向进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The impact of machine learning on UK financial services.

The impact of machine learning on UK financial services.

The impact of machine learning on UK financial services.

Machine learning is an increasingly key influence on the financial services industry. In this paper, we review the roles and impact of machine learning (ML) and artificial intelligence (AI) on the UK financial services industry. We survey the current AI/ML landscape in the UK. ML has had a considerable impact in the areas of fraud and compliance, credit scoring, financial distress prediction, robo-advising and algorithmic trading. We examine these applications using UK examples. We also review the importance of regulation and governance in ML applications to financial services. Finally, we assess the performance of ML during the Covid-19 pandemic and conclude with directions for future research.

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来源期刊
CiteScore
12.50
自引率
1.50%
发文量
41
期刊介绍: The Oxford Review of Economic Policy is a refereed journal which is published quarterly. Each issue concentrates on a current theme in economic policy, with a balance between macro- and microeconomics, and comprises an assessment and a number of articles. It gives a valuable appraisal of economic policies worldwide. While the analysis is challenging and at the forefront of current thinking, articles are presented in non-technical language to make them readily accessible to all readers. The Oxford Review is aimed at a wide audience including government, business and policy-makers, as well as academics and students. It is required reading for those who need to know where research is leading.
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