Annotated Bibliography Bahrammirzaee. A.(2010). A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems. Neural Computing & Applications, 19(8), 1165–1195. Retrieved from https://doi.org/10.1007/s00521-010-0362-z Blumenstyk,G.(2018.April 8).Can artificial intelligence make teaching more personal?The Chronicle of Higher Education. Retrieved from: https://www.chronicle.com/article/Can-Artificial-Intelligence/243023 Professor of School of Engineering at University of British Columbia, Bahrammirzaee, Arash discusses the nonlinear and uncertain behaviors of current financial applications, which change across the time. Bahrammirzaee’s results show that accuracy of artificial intelligent methods is superior to that of traditional statistical methods in dealing with nonlinear financial problems. Author’s researches comparatively review three famous artificial intelligence techniques in financial market has been done, which offers context for portfolio management and financial prediction and planning in this paper. Moloi, & Marwala, T. (2020). Artificial Intelligence in Economics and Finance Theories (1st ed. 2020.). Springer International Publishing. Retrieved from https://doi.org/10.1007/978-3-030-42962-1 Moloi Tankiso as the Head of Postgraduate Studies and Accountancy Research at University of Oxford, leverages artificial intelligence to explain what modernly-developed economic and finance theories mean in the context of the agent wanting to make a decision. Marwala’s works and researches independently focus on how AI is to redefine certain important economic and financial theories, which offers a valuable source for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. Veloso, Balch, T., Borrajo, D., Reddy, P., & Shah, S. (2021). Artificial intelligence research in finance: discussion and examples. Oxford Review of Economic Policy, 37(3), 564–584. Retrieved from https://doi.org/10.1093/oxrep/grab019 Coauthors, the Head of the School of Computer Science at Carnegie Mellon University, investigate how to develop and optimize the use of AI. Their works and evidence demonstrate that AI is a science and engineering discipline that is highly relevant to financial services. Authors, at J.P. Morgan, established a new group dedicated to research at the intersection of AI and finance in mid-2018, whose accomplishment provide this essay an overview of AI’s potential novel applications to finance.
