ALO35: Why Macro Investing Is Becoming More Systematic ft. George Patterson

How do quantitative investors adapt when markets, technology and macro regimes are constantly changing? In this conversation, Alan Dunne sits down with George Patterson, CIO of PGIM Quant Solutions, to explore the evolution of systematic investing from the 1990s to today’s AI driven landscape. They discuss regime detection, inflation risk, portfolio construction, machine learning, private markets, volatility overlays and the growing role of language models in investment research. George also shares insights from decades in quant investing, including lessons from Covid, the importance of model discipline and why communication skills matter as much as technical expertise.

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Episode TimeStamps:

00:00 - Introduction to George Patterson and his journey from physics to quantitative investing

03:12 - Why multidisciplinary teams matter in modern quant investing

04:13 - Inside PGIM Quant Solutions and the evolution of multi asset investing

06:03 - How markets and macro investing have changed since the 1990s

09:12 - The future of the 60/40 portfolio and institutional portfolio construction

12:11 - Private markets, liquidity challenges and institutional investor concerns

13:25 - Inflation, commodities and building modern inflation hedges

19:33 - Detecting macro regimes using quantitative models

23:26 - The hardest part of systematic investing: trusting the process

27:00 - Covid, model failures and managing regime shifts in real time

30:07 - Portfolio protection, options strategies and volatility overlays

32:01 - How AI and large language models are transforming quantitative research

40:02 - Fiscal risks, inflation concerns and the changing rate environment

44:26 - Simplicity versus complexity in quantitative model design

48:05 - Why markets evolve faster today and how models must adapt

51:08 - Retail investors, meme stocks and market distortions

53:33 - Emerging markets and where long term opportunities may exist

55:08 - The future of quant investing and the limits of AI hype

57:10 - George Patterson’s career advice for aspiring quants

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Disclaimer

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