A listener named Chris emailed in with a question a lot of investors are quietly thinking: if the CAPE ratio is around 40 and forecasts say future stock returns could be low, why keep investing at all—especially when CDs, T-bills, and high-yield savings accounts are paying 4–5%? In this episode, Andrew and Stephen break down what CAPE (the Shiller P/E) actually measures, why it’s elevated, and how to use it as a long-term expectations tool without turning it into a market-timing panic button.
They also dig into the psychology behind investing when valuations feel “stretched,” why behavior matters more than being perfectly “right,” and how to think about risk if the market really does drop hard. The bottom line: CAPE can inform your expectations, but it can’t predict the future—and it shouldn’t stop you from building a consistent, long-term investing plan.
What You Will Learn
What CAPE (Shiller P/E) is and why it’s different from a normal P/E ratio
Why a high CAPE can imply lower long-term returns without being a timing signal
How market “top-heaviness” (mega-caps) can distort what CAPE seems to say
How to think about investing behavior when you’re anxious or tempted to react
A practical framework for deciding where your “next dollar” should go (based on time horizon + comfort)
Timestamps
00:00 CAPE near 40, forecasts low returns, so why invest?
01:07 What CAPE is and why it’s a tool, not a crystal ball
02:35 CAPE basics: smoothing earnings over time
03:16 “Does it still make sense to invest?”
05:05 CAPE vs inflation analogy
08:25 CAPE is not for market timing
09:10 “Thermometer, not a calendar”
10:15 Why CAPE is top-heavy: mega-caps tilt the ratio
12:00 What’s driving CAPE higher: big tech valuations + “new” profit growth
22:25 Where does your next dollar go? Steps, psychology, time horizon, and staying consistent
Resources Mentioned
The Value Spotlight Newsletter: https://einvestingforbeginners.com/value-spotlight-newsletter/
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Remember, invest with a margin of safety—emphasis on the safety. Have a great week, and we’ll talk to you next time.
Timestamps are generated by artificial intelligence, and are not 100% accurate depending on the platform used for listening.
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