<p>Fantastic conversation with Igor Halperin around the application of reinforcement learning into forecasting problem, and the limits to data and understanding the world. </p>

EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think.

The Curious Quant series, hosted by Dr Michael Kollo, is a very discussion that explores the role of data, AI and humanity within investing in financial markets. It examines the application of new data and new methodologies has been deployed and considered over the years, including Generative AI.

Michael Kollo has a PhD in Finance is from the London School of Economics where he lectured in quantitative finance in addition to Imperial College and at the University of New South Wales. He has created models and led quantitative research teams at Blackrock, Fidelity and Axa Rosenberg in the UK before more recently moving to Australia where he established the quantitative team for the $50 billion industry superannuation fund, HESTA. 

The aim is to promote better discussions about these emerging areas, and a better understanding of new technologies for practitioners and academics alike. 

Consider it a sort of scientific, quantitative banter, at its finest. But don’t worry, no equations, I promise, unless you are into that kind of thing.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.