Sign up to save your podcasts
Or
Share Dr. Matthew Dixon: Machine Learning in Finance - Deep Learning and Equity Portfolio Modeling
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Dr. Matthew Dixon: Machine Learning in Finance - Deep Learning and Equity Portfolio Modeling
Check out the upcoming speakers at: https://qufallschool.splashthat.com/
Subscribe to this podcast at www.anchor.fm/qupodcast
Or
On Apple Podcast at https://podcasts.apple.com/us/podcast/qupodcast/id1510865003
Slides and video at: https://academy.qusandbox.com/#/market/5f3c39ff99aa4a24691da5f3
A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Topic: Deep Learning and Equity Portfolio Modeling
This lab session shall demonstrate how deep learning can be used to model equity factors, commonly used in asset management. The emphasis shall be on interpretability, the ability of deep learning to capture non-linearities, and understanding the differences between linear models.
View all episodes
By Sri Krishnamurthy
5
11 ratings
Check out the upcoming speakers at: https://qufallschool.splashthat.com/
Subscribe to this podcast at www.anchor.fm/qupodcast
Or
On Apple Podcast at https://podcasts.apple.com/us/podcast/qupodcast/id1510865003
Slides and video at: https://academy.qusandbox.com/#/market/5f3c39ff99aa4a24691da5f3
A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Topic: Deep Learning and Equity Portfolio Modeling
This lab session shall demonstrate how deep learning can be used to model equity factors, commonly used in asset management. The emphasis shall be on interpretability, the ability of deep learning to capture non-linearities, and understanding the differences between linear models.