[2211.14997] A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective

Quantitative Finance > Risk Management arXiv:2211.14997 (q-fin) [Submitted on 28 Nov 2022 (v1), last revised 25 Mar 2026 (this version, v5)] Title:A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective Authors:Huaming Du, Cancan Feng, Yuqian Lei, Chenyang Zhang, Guisong Liu, Gang Kou, Carl Yang, Yu Zhao View a PDF of the paper titled A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective, by Huaming Du and 7 other authors View PDF HTML (experimental) Abstract:Enterprise financial risk analysis aims at predicting the future financial risk of enterprises. Due to its wide and significant application, enterprise financial risk analysis has always been the core research topic in the fields of Finance and Management. Based on advanced computer science and artificial intelligence technologies, enterprise risk analysis research is experiencing rapid developments and making significant progress. Therefore, it is both necessary and challenging to comprehensively review the relevant studies. Although there are already some valuable and impressive surveys on enterprise risk analysis from the perspective of Finance and Management, these surveys introduce approaches in a relatively isolated way and lack recent advances in enterprise financial risk analysis. In contrast, this paper attempts to provide a systematic literature survey of enterprise risk analysis approaches from the perspective of Big Data and ...