Dean's Distinguished Speaker Series - Mimicking Finance
Advances in artificial intelligence and machine learning are reshaping how financial decisions are understood. New research shows that many actions taken by key economic agents, including mutual fund managers, follow patterns that can be learned from historical behaviour. What may appear to be innovative choices often reflect predictable tendencies that can be identified and reproduced with surprising accuracy. These findings deepen ongoing discussions on judgement, expertise and performance across investment contexts.
In this lecture, Professor Lauren H. Cohen presents a framework that distinguishes predictable actions from decisions that genuinely depart from past patterns. You will gain practical insight into how predictability links to outcomes, how behavioural signals influence performance, and how these methods can inform evaluation in your own environment. The session also considers responsible use of AI tools as analytical capabilities continue to advance.
Programme Schedule
| Public (in-person at NBS Auditorium or via Zoom) | |
| 6.30 pm - 7.30 pm | Networking - Light Refreshments (Registration starts at 6.15pm at Wee Cho Yaw Plaza, NBS) |
| 7.30 pm - 9.00 pm | Public Lecture and Q&A at NBS Auditorium |
| 9.00 pm | End of event |
Register for event
- In-Person at NBS Auditorium (Level 1)
- Online (Zoom) - 7.30 pm - 9.00 pm