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Cyclically adjusted price-to-earnings ratio

As explained in Investing for Programmers

A cyclically adjusted price-to-earnings ratio is a stock-market valuation metric that divides a current stock or index price by average inflation-adjusted earnings over the preceding ten years.

The cyclically adjusted price-to-earnings ratio, or CAPE, divides a stock or index’s current price by its average real, inflation-adjusted earnings over the preceding ten years. The long averaging period reduces noise from short-term economic and market disruptions. section 7.6.2

Use CAPE as a long-term valuation signal, not a timing guarantee:

  • High readings can indicate overvaluation and support reducing equity exposure in favor of bonds, gold, or alternatives. section 7.6.2
  • Low readings can indicate undervaluation and support increasing equity exposure, while still requiring caution. section 7.6.2
  • Interpret historical comparisons carefully because interest rates, tax laws, and index composition can change the appropriate valuation range. section 7.6.2

S&P 500 reference points

An historical average near 16–18 provides context: readings above 30 may suggest an overheated market, while readings below 10 may suggest buying opportunities. Neither level predicts an imminent crash or immediate gains. section 7.6.2

Figure 7.10 Shiller CAPE ratio per month
figure

Inspect monthly CAPE values to place current market valuation in historical context. section 7.6.2

How Investing for Programmers covers it

How deep it goes
Defines the ten-year real-earnings formula, gives thresholds, and explains limitations without promising precise timing.
Examples
Uses S&P 500 readings, a 16–18 historical average, and illustrative thresholds above 30 or below 10.
What you can do after
Evaluate long-term market valuation and adjust equity exposure without treating the ratio as a prediction.
How it connects
Connects market valuation with inflation-adjusted earnings, equity allocation, and long-term returns.

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This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.