Featuring Machine Learning experts from Cornell, Citi, and more…
You and your colleagues are invited to attend the UBS & CFEM AI, Data & Analytics Speaker Series. UBS Investment Bank is proud to be partnering with Cornell Financial Engineering Manhattan to provide insights directly from practitioners and academics to the next generation of AI, Data & Analytics talent.
All webinars are from 5:30 pm to 6:30 pm ET.
This seminar is free and open to all. Registration is required (please RSVP here). You will receive the webinar link and dial-in info upon registration (the confirmation email will come from no-reply@zoom.us).
| Date | Tuesday, February 28th, 2023 |
| Time | 5:30 pm to 6:30 pm ET |
| Speaker | Ernest Chan (Predictnow.ai) |
| Title | How to Use Machine Learning for Optimization |
Abstract:
Conditional Portfolio Optimization is a portfolio optimization technique that adapts to market regimes via machine learning. Traditional portfolio optimization methods take summary statistics of historical constituent returns as input and produce a portfolio that was optimal in the past, but may not be optimal going forward. Machine learning can condition the optimization on a large number of market features and propose a portfolio that is currently optimal. We call this Conditional Portfolio Optimization (CPO). Applications on portfolios in vastly different markets suggest that CPO can outperform traditional optimization methods under varying market regimes.
Speaker Bio:
Ernest Chan (Ernie) is the founder and CEO of Predictnow.ai, a machine learning SaaS. He started his career as a machine learning researcher at IBM’s T.J. Watson Research Center’s Human Language Technologies group, which produced some of the best-known quant fund managers. He later joined Morgan Stanley’s Data Mining and Artificial Intelligence group. He is the founder and non-executive chairman of QTS Capital Management, a quantitative CPO/CTA. He received his Ph.D. in physics from Cornell University and his B.Sc. in physics from the University of Toronto.
We hope to see you online!
**Please excuse any duplication of this announcement
If you are interested in our past seminars, you are welcome to subscribe to our YouTube Channel and watch our videos!
Past Events
January 24th, 2023
Speaker: Agostino Capponi (Columbia)
Title of Presentation: Do Private Transaction Pools Mitigate Frontrunning Risk?
Upcoming Events
March 21st, 2023
Speaker: Irene Aldridge (AbleBlox)
Title of Presentation: TBD
April 25th, 2023
Speaker: Thaleia Zariphopoulou (UT Austin)
Title of Presentation: TBD