A Comprehensive Review of Generative AI in Finance

The integration of generative AI (GAI) into the financial sector has brought about significant advancements, offering new solutions for various financial tasks. This review paper provides a comprehensive examination of recent trends and developments at the intersection of GAI and finance. By utilizi...

Full description

Saved in:
Bibliographic Details
Main Authors: David Kuo Chuen Lee, Chong Guan, Yinghui Yu, Qinxu Ding
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:FinTech
Subjects:
Online Access:https://www.mdpi.com/2674-1032/3/3/25
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The integration of generative AI (GAI) into the financial sector has brought about significant advancements, offering new solutions for various financial tasks. This review paper provides a comprehensive examination of recent trends and developments at the intersection of GAI and finance. By utilizing an advanced topic modeling method, BERTopic, we systematically categorize and analyze existing research to uncover predominant themes and emerging areas of interest. Our findings reveal the transformative impact of finance-specific large language models (LLMs), the innovative use of generative adversarial networks (GANs) in synthetic financial data generation, and the pressing necessity of a new regulatory framework to govern the use of GAI in the finance sector. This paper aims to provide researchers and practitioners with a structured overview of the current landscape of GAI in finance, offering insights into both the opportunities and challenges presented by these advanced technologies.
ISSN:2674-1032