Habeeb A. Adeoye
Papers
1
Total Citations
51
H-Index
1
About
Habeeb A. Adeoye is a rising scholar at the intersection of financial technology, behavioral finance, and artificial intelligence. His research primarily explores how investor attention—captured through Google search data—drives asymmetric connectedness and volatility transmission among emerging digital assets, particularly FinTech and Robotics & Artificial Intelligence stocks. In his most-cited work (2022, 51 citations), Adeoye demonstrates that retail investor sentiment, as measured by search volume, creates nonlinear spillover effects across fourth industrial revolution assets, offering critical insights for portfolio diversification and risk management in an era of algorithmic trading. This contribution has been influential in bridging behavioral finance with the study of AI-driven markets, earning him recognition among scholars examining the feedback loops between human attention and machine-driven trading. Adeoye’s work is notable for its methodological rigor, combining time-varying parameter vector autoregressions with network analysis to map the dynamic linkages between investor psychology and asset prices. His findings have practical implications for regulators and investors navigating the increasingly interconnected landscape of disruptive technologies, cementing his reputation as a thoughtful voice in the evolving dialogue on fintech and market efficiency.
Research Focus
Key Achievements
Top Papers
- 1