The Curious Quant
The Curious Quant series, hosted by Michael Kollo, is a discussion between technically-minded professionals in the financial services, technology and data science fields. It examines the application of new data and new methodologies to common problems in financial markets. 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.
Show episodes
This is the first episode of a short series I am calling : Conversations with a super-intelligence. I must warn you, it is not for the faint hearted. They are live recorded conversations with the most advanced AI systems we have, asking about its nature, its reasoning systems, and how it considers what it does. For th
In this episode, I explore some of the more direct applications of Generative AI, specifically ChatGPT within a quantitative investment process, starting with expansions to NLP signals, to product strategy and client communications. It is just me this time, but I hope you like it.
I spoke with Professor Russell at the beginning of the pandemic about AI and humanity. He is a world famous thinker, researcher and name in this field. Its raw.. it is unedited. It is exactly what you need to hear. No intros, no outros, no marketing. Just the conversation.
EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think.
Prof Rob Hyndman discusses the interesting elements of his work as editor of the Internal Journal of Forecasting, his work on forecasting COVID for the Australian government, time-series and causality.
Fantastic conversation with Igor Halperin around the application of reinforcement learning into forecasting problem, and the limits to data and understanding the world.
COVID Popup Podcast: Curious Quant and Nick Wade discuss if risk models have something to say about pandemic risk.
Nick Wade from Northfield and the Curious Quant discuss the impact of COVID on risk modeling frameworks, assumptions, and how the recent movements in asset markets may or may not impact the short and long-term assumptions of asset owners.
