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CAPE Ratio explains: Why this one metric predicts whether stocks are overvalued

This one metric tells you whether markets are overvalued. Huber's thesis shows: CAPE > 30 leads to crashes. Understand the logic.

What you'll take away from this article
  • How to understand what is the cape ratio? and use it for your capital strategy
  • How to understand historical reviews since 1881 and use it for your capital strategy
  • How to understand predictive power of cape and use it for your capital strategy
  • How to understand cape country comparison and use it for your capital strategy

What is the CAPE ratio?

CAPE = Cyclically Adjusted Price Earnings Ratio. It is the "smoothed" version of the P/E ratio that takes into account average earnings over the last 10 years.

The formula:

CAPE = Stock Index Price / (Average Inflation-Adjusted Gains Over 10 Years)

The advantage: CAPE filters out cyclical profit fluctuations and shows the structural valuation.

Historical reviews since 1881

16.6 Historical average CAPE since 1881

Huber shows in his analysis (Figure 53): The S&P 500 has had an average CAPE of 16.6 since its inception. This is your baseline.

CAPE Ratio: Historical course 1881-2020
Technical bubbles are clearly visible
Ø 16.6 2000 2008 5 15 25 35 40+

What do the numbers mean?

Predictive power of CAPE

Huber analyzes the return distribution by CAPE level (Table 6). The result is bleakly clear:

Average 10-year returns by CAPE entry level
Higher CAPE = Lower future returns
CAPE<10 +16.2% 10-20 +12.4% 20-30 +5.8% CAPE>30 +1.2% 0% +10% +15% +20%

The message is clear:The higher the CAPE, the lower the future returns. If you invest at CAPE > 30, you can only expect an annual return of 1.2%.

CAPE country comparison

Not all markets are equally overvalued. Huber analyzes the CAPE ratios of various countries (Table 5):

CAPE ratio by country (2020)
USA well above average
USA 28.3 Europe 16.4 Japan 14.2 Emerging 11.8 Ø 16.6

Conclusion:The USA is overvalued at CAPE 28.3. Europe and emerging markets offer cheaper entry points - that's a practical lesson from Huber's data.

📄
Akademische Quelle: Master Thesis
Entwicklung einer optimalen Asset Allocation in Zeiten expansiver Geld- und Fiskalpolitik
Daniel Huber, M.A. — Hochschule Mainz, 2020 | Betreut von Prof. Dr. Arno Peppmeier
13.174 Wörter · 92 Abbildungen · 39 Tabellen · Markowitz-Effizienzlinienanalyse
Vollständige Thesis herunterladen (PDF, 6 MB) →
DH
Gründer & CEO von CANVENA | 215 Mio. USD Track Record
Your advantage after this article

What you now know — and how to use it

  • You know the core concepts and can apply them directly to your situation
  • You know which mistakes to avoid — saving you time and capital
  • You understand how this building block fits into your overall strategy

Your next step: Have your situation professionally assessed — free and non-binding in an initial consultation with Daniel Huber.

Sources & Further Reading

This article is based on a review of leading expert literature and curated primary sources from the CANVENA source matrix — more than 60 core books and 120 online resources across all relevant fields from capital intelligence, family office, strategy and valuation.

Books

  • The Intelligent InvestorBenjamin Graham, HarperBusiness.
  • A Random Walk Down Wall StreetBurton G. Malkiel, W.W. Norton.
  • Common Sense on Mutual FundsJohn C. Bogle, Wiley.
  • The Intelligent Asset AllocatorWilliam J. Bernstein, McGraw-Hill.

Online Resources & Industry Reports

Links are recommendations, not affiliated.

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