Automated Financial Analysis Using GPT-4
Abstract
We introduce a novel application employing GPT-4 for automated financial analysis, aiming to improve the evaluation process of financial performance for businesses and accountants. Our application interprets financial ratios over a two-year period and generates actionable advice. Through specific design objectives and prompt engineering, we ensure the generated advice is concise, language-flexible, and informative. Integrated as a proof-of-concept (PoC) into Silverfin’s accounting cloud service, our application showcases the potential of large language models in the specialized fields of finance and accounting.
Cite
Text
Noels et al. "Automated Financial Analysis Using GPT-4." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43430-3_28Markdown
[Noels et al. "Automated Financial Analysis Using GPT-4." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/noels2023ecmlpkdd-automated/) doi:10.1007/978-3-031-43430-3_28BibTeX
@inproceedings{noels2023ecmlpkdd-automated,
title = {{Automated Financial Analysis Using GPT-4}},
author = {Noels, Sander and Merlevede, Adriaan and Fecheyr, Andrew and Vanhalst, Maarten and Meerlaen, Nick and Viaene, Sébastien and De Bie, Tijl},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2023},
pages = {345-349},
doi = {10.1007/978-3-031-43430-3_28},
url = {https://mlanthology.org/ecmlpkdd/2023/noels2023ecmlpkdd-automated/}
}