人工智能在金融领域的应用研究进展

被引：34

作者：

廖高可 ^{[1
]}

李庭辉 ^{[2
]}

机构：

[1] 广州大学金融研究院

[2] 广州大学经济与统计学院

来源：

经济学动态 | 2023年 / 03期

基金：

中国博士后科学基金;

关键词：

人工智能; 金融发展; 效应分析; 风险监管;

D O I：

暂无

中图分类号：

F830 [金融、银行理论]; TP18 [人工智能理论];

学科分类号：

1201 ; 020204 ; 081104 ; 0812 ; 0835 ; 1405 ;

摘要：

人工智能在金融领域的应用使得金融与人工智能深度融合，这种融合凸显了人工智能技术在金融领域的广泛应用。人工智能等新一代信息技术的快速发展驱动金融领域的发展逐渐向智能化迈进。本文首先系统梳理了人工智能在金融领域应用的发展阶段和方向。其次，从技术进步、资本支持、环境改变三个宏观因素以及数据资源、成本优势、效率改善三个微观因素分析了人工智能影响金融发展的理论机制。再次，从生产、消费和就业三个角度分析了人工智能应用于金融领域产生的经济社会效应，以及相关的风险和监管研究。最后，总结了人工智能在金融领域应用的研究进展，并对未来的研究问题进行了展望。

引用

页码：141 / 158

页数：18

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