Episode 399: James Choi - Portfolio Theory in a Spreadsheet
Episode
74 min
Read time
2 min
Topics
Career Growth, Personal Finance, Investing
AI-Generated Summary
Key Takeaways
- ✓Human Capital as a Bond: Most portfolio advice ignores human capital, which functions like a bond in your total wealth portfolio. A 30-year-old with $2.2M in projected future earnings and only $500K saved should hold 91% equities in their financial portfolio—not because they need returns, but because their implicit bond position (human capital) already dominates their total wealth allocation.
- ✓Wealth Level Inverts Common Advice: Higher accumulated financial wealth relative to future human capital means you should hold *less* equity, not more. Two 40-year-olds with identical salaries should differ in equity allocation based on savings: the wealthier one holds a larger fraction of total wealth in financial assets, reducing the need for aggressive equity exposure in the portfolio.
- ✓Permanent vs. Transitory Income Risk: Labor income risk splits into transitory (layoffs, short gaps) and permanent (career trajectory, promotions). Permanent income risk meaningfully reduces optimal equity allocation; transitory risk barely affects it. Counterintuitively, high school graduates—who face more transitory but less permanent income risk—should hold more equities than college graduates, all else equal.
- ✓Welfare Cost of Common Rules: Following "100 minus age" in equities costs roughly 2% of lifetime welfare versus the optimal strategy. A fixed 60/40 allocation costs 3.75%. Being 100% cash costs 7.9%. Being 100% equities costs 11.8% on average—but only 0.56% for someone with risk aversion of 4, a realistic level, making all-equity portfolios defensible for many investors throughout working life.
- ✓Measuring Your Risk Aversion: Use this thought experiment to find your risk aversion score (1–10): imagine a coin flip between living on $100K or $50K for one year. Identify the guaranteed amount that makes you indifferent to the gamble. A risk-neutral person accepts $75K; more risk-averse individuals require less. The paper provides a lookup table converting that threshold amount into a risk aversion coefficient for the spreadsheet.
What It Covers
Yale finance professor James Choi presents his paper "Practical Finance," which approximates the complex life cycle portfolio choice problem into a free Google Sheets tool. The model incorporates human capital as a bond-like asset to determine optimal stock-versus-risk-free allocation across different ages, wealth levels, risk aversion scores, and labor income characteristics.
Key Questions Answered
- •Human Capital as a Bond: Most portfolio advice ignores human capital, which functions like a bond in your total wealth portfolio. A 30-year-old with $2.2M in projected future earnings and only $500K saved should hold 91% equities in their financial portfolio—not because they need returns, but because their implicit bond position (human capital) already dominates their total wealth allocation.
- •Wealth Level Inverts Common Advice: Higher accumulated financial wealth relative to future human capital means you should hold *less* equity, not more. Two 40-year-olds with identical salaries should differ in equity allocation based on savings: the wealthier one holds a larger fraction of total wealth in financial assets, reducing the need for aggressive equity exposure in the portfolio.
- •Permanent vs. Transitory Income Risk: Labor income risk splits into transitory (layoffs, short gaps) and permanent (career trajectory, promotions). Permanent income risk meaningfully reduces optimal equity allocation; transitory risk barely affects it. Counterintuitively, high school graduates—who face more transitory but less permanent income risk—should hold more equities than college graduates, all else equal.
- •Welfare Cost of Common Rules: Following "100 minus age" in equities costs roughly 2% of lifetime welfare versus the optimal strategy. A fixed 60/40 allocation costs 3.75%. Being 100% cash costs 7.9%. Being 100% equities costs 11.8% on average—but only 0.56% for someone with risk aversion of 4, a realistic level, making all-equity portfolios defensible for many investors throughout working life.
- •Measuring Your Risk Aversion: Use this thought experiment to find your risk aversion score (1–10): imagine a coin flip between living on $100K or $50K for one year. Identify the guaranteed amount that makes you indifferent to the gamble. A risk-neutral person accepts $75K; more risk-averse individuals require less. The paper provides a lookup table converting that threshold amount into a risk aversion coefficient for the spreadsheet.
- •Approximate Solution Accuracy: Choi's model solves thousands of parameter combinations numerically, then fits simple regression-based formulas to approximate results. The average deviation from the true numerical optimum is 3–4 percentage points in equity allocation. Following the approximate strategy instead of the exact optimal produces less than 0.1% lifetime welfare loss—compared to 2–12% losses from common rules of thumb.
Notable Moment
When examining the welfare cost of being 100% equities for life, the average loss across all parameter sets appeared worse than holding cash—a startling result. But disaggregating by risk aversion revealed that for someone with a coefficient of 4, the welfare loss from all-equity is only 0.56%, making it a reasonable strategy for most working-age investors.
Episode Transcript
This is the Rational Reminder Podcast, a weekly reality check on sensible investing and financial decision making from two Canadians. We're hosted by me, Benjamin Felix, Chief Investment Officer, and Cameron Passmore, Chief Executive Officer at PWL Capital. And welcome to episode three ninety nine. Ben, we had feedback from a listener, at least one listener, that they wished that kind of the podcast I go back to, it's more mathy roots. Well, I would suggest that today absolutely crushed that request. And this conversation with repeat guest, professor James Choi, phenomenal phenomenal and interesting person in terms of what he's up to and how he thinks and how he communicates. Absolutely delivered on being more math y, but also extremely practical. His whole brand is practical finance. Right? Making complicated decisions easier, which is also what this podcast is all about. But, wow, what a conversation. You have to queue it up, but, man, I thought it was phenomenal. I saw James speak at a conference last year. He was actually speaking about Scott Cedarburg's paper. He was a discussant. It was a great discussion of that paper, and he made a bunch of really interesting points that he covers in one of his new papers. So I, of course, read that paper, which I think was a work in progress last time we talked to him if I remember correctly. But I went through this new paper that he has out, which is titled Practical Finance, An Approximate Solution to Life Cycle Portfolio Choice. And it's honestly so good. It's just such a good paper. It's such a good discussion of portfolio choice, which is just how to pick how much you should invest in stocks versus bonds. This is a great discussion of that, but then let me back up. That is a complex problem to solve. We'll let James explain that in during the episode, but how much should you have in stocks versus bonds? It's not a simple problem to solve. But what they did is they took the complex solution and created an approximation of that that is relatively easy to solve with relatively few inputs, but gets you very, very close to the numerically optimal solution. That's cool. Okay. But their whole thing is practical finance. They want you to be able to solve for the optimal asset allocation for your specific situation in a spreadsheet. So I read the paper. I'm thinking, okay. Well, I've gotta go build the spreadsheet. Then I started looking at the formulas that would be required. I'm like, okay. They did make this relatively simple, but it's still not super easy. This is gonna be a hard spreadsheet to build. So I think, James must have built the spreadsheet. There's no way he didn't. So I went back to the Yale website where the paper's posted, and right below the paper is a link to a Google Sheet that he's built so you can solve the portfolio …
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