Episode
Episode 403: Patrick Adams - When Stock Crashes Matter for Long-Term Investors
- Published
- Apr 2, 2026
- Duration seconds
- 3841
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Summary
What if your biggest investment risk isn't the stock market—but your own income? In this episode, we are joined by Patrick Adams, a PhD candidate at MIT, for a fascinating deep dive into how income risk, spending commitments, and liquidity constraints reshape what "optimal" investing actually looks like. Drawing on large-scale administrative tax data, Patrick challenges the conventional wisdom that young investors should be heavily—or even fully—invested in equities. We explore why stocks appear safe over long horizons but become risky when real-world constraints force investors to sell at the worst possible times. Patrick explains how high-income households behave during market downturns, why their income risk is closely tied to stock market performance, and how consumption commitments like mortgages and childcare create hidden financial leverage. The conversation also introduces a new life-cycle model that incorporates these frictions—leading to surprisingly conservative optimal equity allocations for working-age investors. This episode reframes asset allocation as a problem of liquidity and risk management, not just return maximization. Key Points From This Episode: (0:00:00) Introduction to the podcast and overview of the episode's focus on asset allocation and new research. (0:01:18) Patrick Adams' background, MIT PhD research, and how the paper was discovered. (0:07:08) Why stocks are considered safe for long-term investors based on historical returns. (0:08:37) When the "stocks for the long run" logic breaks down—forced selling during downturns. (0:10:35) Evidence: High-income households sell stocks during crashes instead of buying. (0:12:24) Data source: Administrative U.S. tax return data and its advantages/limitations. (0:14:23) Investors shift into fixed inc…