Enhancing the Quality of Financial Analysis through the Application of Artificial Intelligence (ChatGPT): Opportunities and Challenges
DOI:
https://doi.org/10.70516/zaccsssh.v1i1.36Keywords:
Financial Statement Analysis, Artificial Intelligence, ChatGPTAbstract
The research is concerned with the subject of the future of the accounting profession in light of the development of the uses of artificial intelligence, specifically what relates to the function of interpreting accounting numbers published in the financial statements. Accordingly, the two researchers attempted to formulate a joint vision to study the challenges that the financial analyst can face in the transition to the contemporary world of digitization, which is beginning to impose... Its dimensions in various fields, practical fields, and various scientific and professional horizons. The research was based on the hypothesis that there is a statistically significant correlation between the development of artificial intelligence applications and the level of quality of financial reports provided by financial analysts. The research reached proof of the validity of such an assumption based on evidence that indicates the availability of the possibility to achieve the maximum benefit from artificial intelligence applications in interpreting the relationships between published accounting numbers for various business organizations.
References
"Artificial Intelligence in Finance: A Review and Future Prospects" – Research article from IEEE Transactions on Neural Networks and Learning Systems.
"Machine Learning for Financial Market Prediction" – Book by Nicholas Fontenot.
"Deep Learning for Finance: Principles and Practice" – Book by Alfredo Castro and Daniel Moser.
"The Impact of Artificial Intelligence on the Capital Markets" – Report by the Massachusetts Institute of Technology.
"Applications of Machine Learning in Finance" – Research article from Journal of Economic Surveys.
"Financial Trading Using Machine Learning Algorithms: A Literature Review" – Research study from Expert Systems with Applications.
"Deep Learning in Finance" – Research study from IEEE Computational Intelligence Magazine.
"Forecasting in Finance with Machine Learning" – Research study from Journal of Financial Economics.
"Using Machine Learning to Predict Financial Distress: A Survey of the Literature" – Research study from Journal of Financial Stability.
"Machine Learning in Finance: Why, What & How" – Technical article from Medium.
Downloads
Published
How to Cite
Conference Proceedings Volume
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Open Access and Copyright: ZAC Conference Series operates as an open-access proceeding, making all its articles freely available to everyone. Published content is licensed under the Creative Commons Attribution International Public License (CC BY 4.0). This license allows individuals and organizations to:
- Download, share, distribute, and print full texts of articles
- Reproduce or link to articles in any medium,
While authors retain copyright for their published work on the ZAC Conference Series website, the Conference Series actively promotes and tracks citations to increase recognition for their research.
In essence, CC-BY-4.0 encourages the widest possible dissemination and utilization of published articles as long as written permission and appropriate credit are given to the authors.
