Mike Bell on History, Cycles, and Building Portfolios for Different Regimes
Mike Bell walks through the framework he uses to understand markets: study financial history, identify the cycle you are in, and match assets to the regime rather than to a simple stock-bond split. He explains why politics, demographics, debt, and central bank policy matter as much as traditional market data. In this interview, Alan speaks with Mike Bell, a macro and investment strategist, about how he built his approach from the 2008 financial crisis onward and why he thinks the biggest mistake investors make is looking at too little history. They also discuss inflation, gold, bonds, financial repression, and how AI may reshape investing and work.
Key Topics
Mike Bell shares how his interest in markets began with political philosophy, economics, and an early fascination with the relationship between politics and real-world outcomes.
He describes starting in markets in April 2008 and learning his craft during the financial crisis, when markets were falling hard and investors needed a framework for when to buy risk again.
We discuss the indicators he used after the crisis, including valuations, initial jobless claims, homebuilding data, new home sales, and other leading indicators that often turned before markets did.
Mike explains why he believes financial history is essential, not optional, and why he looks back not just 10 years but 100 years or more when possible.
He argues that cycles are driven by both fundamentals and sentiment, but that sentiment usually affects timing more than the root cause of bubbles and crashes.
In the episode, he outlines his “zooming out” approach, which means studying long-term history, politics, wars, debt cycles, and structural changes such as demographics and productivity.
He also outlines “zooming in” by dissecting data more deeply than the headline number, using non-farm payrolls and inflation components as examples.
Mike discusses why correlations change in stress periods, why 2022 mattered so much for portfolios, and why a plain 60-40 portfolio may not be enough in every regime.
He explains what tends to work in different environments, including gold, cash, inflation-linked bonds, commodities, and certain government bonds, depending on inflation, growth, and debt conditions.
We cover the debt problem in developed economies, especially the US and Europe, and why he expects financial repression to remain a major theme.
Mike closes by explaining how AI can help young investors learn faster, but also why technology that benefits only a small group may trigger political backlash.
Chapters - Part 2 of my interview with Mike Bell, CFA
1 - The short-term business cycle and how it turns
2 - Long-term debt cycles across government, household, and corporate balance sheets
3 - Why momentum, central banks, and fiscal policy drive turning points
4 - Inflation, stock-bond correlations, and why the 1970s matter
5 - What to own when stocks and bonds both struggle
6 - A better benchmark for diversification
7 - What hedges equity risk in stressed environments
8 - Debt, aging populations, and the future of financial repression
9 - How young investors should use AI without overestimating it
10 - Why innovation has to benefit the majority to stay politically sustainable
11 - How to follow Mike Bell’s work
Key Frameworks
Zooming out: Study long-run history, politics, and structural cycles.
Zooming in: Break down headline data into components and leading signals.
Short-term business cycle: Track interest rates, inflation, unemployment, wage growth, and credit.
Long-term debt cycle: Examine public, household, corporate, and financial-sector leverage over decades.
Regime-based investing: Match assets to the inflation and growth environment rather than assuming one allocation works everywhere.
Action Items
Study market history beyond the last decade, especially past bubbles, recessions, and inflation regimes.
Break down macro data into components instead of relying only on headline releases.
Build portfolios around different regimes, not just around stock and bond exposure.
Consider gold, inflation-linked bonds, cash, and commodities as part of broader diversification.
Use AI as a research accelerator, not as a replacement for judgment.
Want to follow Mike and keep the learning going?
Check out Mike's LinkedIn page. He shares a phenomenal amount of useful learning material every week (and most days)!
https://www.linkedin.com/in/mike-bell-cfa/