Impact of Artificial Intelligence on Financial Markets: Possibilities & Challenges


  • Nusrat Azeema Mass Communication, Allama Iqbal Open University, Islamabad, Pakistan.
  • Hassan Nawaz Department of Electrical Engineering, National University of Computer and Emerging Sciences, Islamabad, Pakistan.
  • Mohsin Asad Gill School of Business, University of Southern Queensland, Australia.
  • Muzammil Ahmad Khan Computer Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Pakistan.
  • Javed Miraj Department of Management Sciences, Lasbela University of Agriculture, Water and Marine Sciences, Uthal, Balochistan, Pakistan.
  • Kashif Lodhi Department of Management, Economics, and Quantitative Methods. Università degli Studi di Bergamo via dei Caniana, 24127 Bergamo (BG), Italy.


Artificial Intelligence, Financial Market, possibilities, Challenges, Financial Business


Man-made intelligence is the course of human insight executed by machines. Artificial intelligence advances the maintainable and robust utilization of assets. Information-driven organizations can upgrade choices and empower more exact expectations (Anastasi et al., 2021). In particular, a further developed computerized change procedure creates information from enormous datasets. In this way, executing artificial intelligence cycles will further develop bank representatives' efficiency. This paper includes monetary and non-monetary data to acquire a dependable image of organizations' presentations, and the yearly report is one of the principal hotspots for the dynamic course of financial backers in the monetary market. Hence, this exploration depends on the examination of 130 yearly reports for each of the 15 Jordanian-recorded banks from the timeframe of 2014-2022. Results suggested that AI has revolutionized algorithmic trading in financial markets. Algorithmic trading is the practice of using automated, computer-based systems to execute high-frequency and complex trading strategies. AI-driven trading algorithms can analyze massive volumes of historical and real-time data, identify patterns, and make split-second trading decisions. Results also suggest a clear upward trend in the increase in AI opportunities over the years, with values generally increasing from left to right. In 2014, the rise in AI opportunities was relatively low, at around 5.4. From 2015 to 2017, there was a steady increase in AI opportunities, with a more noticeable upward trend in 2017. The growth continued to accelerate from 2018 to 2022, with the most significant increase observed in 2022.




How to Cite

Nusrat Azeema, Hassan Nawaz, Mohsin Asad Gill, Muzammil Ahmad Khan, Javed Miraj, & Kashif Lodhi. (2023). Impact of Artificial Intelligence on Financial Markets: Possibilities & Challenges. Journal of Computing & Biomedical Informatics, 6(01), 287–299. Retrieved from