CAD Seminar Series: Ahmed Mohamadean,Artificial Intelligence in Finance: Evidence from Behavioral Ec
When:
April 9, 2025
2:30 p.m. to 3:30 p.m.
2:30 p.m. to 3:30 p.m.
Where:
Event category:
Seminar
Hybrid
Speaker: Ahmed Mohamadean, Mike Ilitch School of Business, WSU
Time: Wednesday, April 9, from 2:30 pm to 3:30 pm
Location for in-person participants: 1146 FAB
Zoom link for online audience: https://wayne-edu.zoom.us/j/92845590121?pwd=CpRA5Wa5gzSMn2xiVkR2abD83O5nrH.1
Title: Artificial Intelligence in Finance: Evidence from Behavioral Economics Experiment
Abstract: The robustness of mispricing in experimental markets with finite-life assets is well documented. In this talk, I will provide a brief overview of algorithmic traders and their reported impacts on the market. I will then cover the three hypotheses presented in our paper, which relate to market efficiency, wealth distribution, and risk. Next, I will explain our experimental trading interface and our new autonomous AI trader design. Finally, I will discuss our findings and their implications for both theory and practice.
Bio: Ahmed Mohamadean is an Assistant Professor of the Department of Technology, Information Systems, and Analytics at the Mike Ilitch School of Business at Wayne State University. Ahmed obtained his Ph.D. in 2024 from the Department of Information Systems at McMaster University in Canada. His research interests encompass the broad areas of Artificial Intelligence and Blockchain. His recent research on the use of AI in the financial sector has attracted numerous grants from the Canadian Government, CPA Canada, and a research grant from Wayne State University.
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CAD Seminar Series: Advancing Knowledge, Innovation, and Collaboration in Computation, AI, and Data Science (CAD)
The CAD Seminar Series is a dedicated platform for advancing knowledge, fostering innovation, and promoting collaboration across the fields of Computation, Artificial Intelligence, and Data Science. This series brings together leading experts, researchers, and professionals to explore the latest developments, tackle emerging challenges, and drive forward-thinking solutions at the convergence of these critical disciplines.
Objectives:
• Advance Knowledge: Share cutting-edge research and insights that push the boundaries of what is known in CAD.
• Foster Innovation: Encourage the development of novel ideas and solutions through interdisciplinary dialogue and creative thinking.
• Promote Collaboration: Unite expertise across disciplines and build bridges between academia, industry, and government to address complex problems and create opportunities for joint ventures.
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Call for Participation: We welcome contributions from researchers, practitioners, and students. Whether presenting your work, participating in discussions, or attending as a learner, your involvement is crucial to the success of this collaborative initiative.