Summary
- We will briefly introduce the current state of machine learning in finance, highlighting it’s benefits and failures
- We’ll introduce Causal AI and how it can overcome many of the limitations of current ML, and will share case studies of how it is currently proving that in production.
- We will give a product demo to show how Causal AI can be used to explain the relationships driving portfolio performance, simulate different scenarios and optimize portfolios.
Beyond Spurious Correlations: Understanding Portfolio Risk with Causal AI
May 27, 2021| 3pm BST
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