Enhancing the Quality of Financial Analysis through the Application of Artificial Intelligence (ChatGPT): Opportunities and Challenges

Authors

  • Haidar Alwan Kazem Al Hikma University College, Baghdad, Iraq
  • Ali Osama Talib Al Hikma University College, Baghdad, Iraq
  • Zainab Hadi Ali College of Business Administration, Al-Bayan University, Baghdad, Iraq

DOI:

https://doi.org/10.70516/zaccsssh.v1i1.36

Keywords:

Financial Statement Analysis, Artificial Intelligence, ChatGPT

Abstract

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.

https://annualreport.plus/alinmabank2021/ar/financial_reports/consolidated_statement_of_financial_position.html

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Published

20-10-2024

How to Cite

Kazem, H. A., Talib, A. O., & Ali, Z. H. (2024). Enhancing the Quality of Financial Analysis through the Application of Artificial Intelligence (ChatGPT): Opportunities and Challenges. ZAC Conference Series: Social Sciences and Humanities, 1(1), 172–182. https://doi.org/10.70516/zaccsssh.v1i1.36