Livestream: Better Hedging Through Deep Learning

This is a past event

26 people went

Location image of event venue


This event will be Livestreamed here:

Recent work by JPMorgan's Quantitative Research team has developed a new technique for calculating optimal hedges for arbitrary derivatives portfolios that is based on training a deep learning neural network. This technique reduces to standard risk neutral hedges when the standard risk neutral assumptions hold: no transaction costs, no restrictions on hedge size, continuous rebalancing of hedges, and no unhedgeable risks. However, it cleanly generalizes to the cases where those assumptions are violated. This technique shows promise for hedging problems in less liquid markets, such as physical commodity asset optimization and variable annuity hedging.

Speaker: Dr. Mark Higgins, Beacon Platform, Inc. Chief Operating Officer and Co-Founder

Dr. Higgins co-founded Beacon in 2014 after spending twenty years on trading floors as a quantitative developer, trader, and manager, developing industry-leading trading and risk management software.


About Metis

Metis ( accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps.

The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle.

On the corporate side, Metis works with large organizations who want to upskill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education.


Join our Metis Community Slack channel!

Apply here:


Metis Code of Conduct

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.