關於這個 Podcast 🔗
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.
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.
AUDIENCE OF THIS PODCAST 🔗
~28.31% of listeners are from United States.
🇺🇸
US
28.31%
🇦🇺
AU
16.43%
🇬🇧
GB
13.69%
🇸🇬
SG
9.13%
🇩🇪
DE
9.13%
🇫🇷
FR
5.02%
🇮🇱
IL
4.10%
🇭🇰
HK
3.19%
🇮🇳
IN
2.73%
🇨🇦
CA
2.73%
🇳🇱
NL
0.91%
🇱🇦
LA
0.45%
🇲🇺
MU
0.45%
🇨🇭
CH
0.45%
🇵🇭
PH
0.45%
🇬🇷
GR
0.45%
🇦🇹
AT
0.45%
🇪🇸
ES
0.45%
🇲🇾
MY
0.45%
🇧🇷
BR
0.45%
🇮🇹
IT
0.45%
Others
0.13%
* Data source: directly measured on Listen Notes. 即時
最新一集 🔗
In this episode we explore the idea of a digital deity from the lens of all the major religions from the world. Most of this episode is of an AI system talking to itself about the notion of a digital deity, and using the religious texts as reference, and as a way to frame the conversation.
以前的節目 🔗
This is the first episode of a short series I am calling : Conversations with a super-intelligence.
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 the first episode, we will be t…
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.
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.
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.
I speak to Matt about his wonderful collection of old (retro?) computers but also all about the challenges of defining an ethical framework for algorithms, and what we can do to understand this tricky area.
I speak with my a great voice of independent research in London on the topics of using alternative data for FX and macro research for quantitative strategies. We talk a lot about Saeed's well known work in macro-economics, in FX research, as well as his well known and regarded book.
I chat with Christina about her experiences starting her own firm dealing with high frequency trading strategies, and her observations about how high frequency strategies have evolved, where they are now, and where they may be going in the future.
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