Most financial assets are highly correlated and it gets really difficult to find one that's not the closest we came with is our microcap approach. But even that it tends to move out of sync with the general market. Now you can put an uncorrelated return stream in your portfolio. That's diversification as long as you realize that what I was getting at is sometimes uncor related return streams are negative too for time periods.
Julia is the co-founder of Rosetta Analytics Inc, “an alternative asset manager that is pioneering the use of advanced artificial intelligence to build and actively manage liquid investment strategies.” Prior to co-founding Rosetta, Julia served as President of Wilshire Consulting and was a member of Wilshire’s Board of Directors and Consulting Investment Committee. Julia joins the show to take a deep dive into deep reinforcement learning and Rosetta’s pioneering work using AI as the basis of its investment strategies. Important Links:
Show Notes:
- Julia’s journey from Wilshire to Rosetta
- Defining deep reinforcement learning
- AI and non-linear thinking
- Using adaptive models
- Overcoming the human need for ‘why’
- Pitching deep reinforcement learning models to new investors
- Telling positive stories about AI; improving our discourse
- “Wake up and look for the joy”; “overcoming fear is the biggest barrier to success”
Books Mentioned:
- What Works on Wall Street: A Guide to the Best-Performing Investment Strategies of All Time; by Jim O’Shaughnessy
- The Beginning of Infinity: Explanations That Transform the World; by David Deutsch
- The Fourth Turning: An American Prophecy - What the Cycles of History Tell Us About America's Next Rendezvous with Destiny; by William Strauss and Neil Howe