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Markowitz Portfolio Theory in Practice: How to Build a Mathematically Optimal Portfolio

Harry Markowitz proved: The best investment is not the best asset - it is the best combination. Learn the math behind the optimal portfolio.

What you'll take away from this article
  • How to understand the efficient frontier according to markowitz and use it for your capital strategy
  • How to understand why correlations are everything and use it for your capital strategy
  • How to understand in practice: the optimal portfolio and use it for your capital strategy
  • How to understand related articles and use it for your capital strategy

The Efficient Frontier according to Markowitz

Harry Markowitz received the Nobel Prize in 1990 for his insight: It's not about the best single investment. It's about which combinations of investments together offer the best risk-reward ratio.

The “Efficient Frontier” is the line of all portfolios that have the highest possible risk return. To the left are worse combinations. Right is impossible (higher risk, same return).

Efficient Frontier (μ-σ concept)
All optimal portfolios lie on this curve
100% gold Balanced Optimal 100% shares Suboptimal risk (σ) Return (μ) Inefficient zone

Why correlations are everything

Markowitz's secret is not complicated: When two assets are not perfectly correlated, you benefit from diversification.

1 + 1 = 1.5 The magic of negative correlation

If you combine two assets with -0.5 correlation, the portfolio risk is less than the sum of the individual risks. This is the only “free meal” in finance.

Correlation matrix: asset classes among each other
Dark blue = high positive correlation | Light yellow = low/negative
Shares Bonds Gold raw materials Real estate Shares Bonds Gold raw materials RE. 1.0 0.15 -0.08 0.32 0.68 0.15 1.0 -0.15 -0.05 0.42 -0.08 -0.15 1.0 0.12 -0.02

In practice: The optimal portfolio

Huber's efficiency line analysis (Figures 83 and 84) identifies the mathematically optimal portfolio for different risk profiles.

Conservative (σ=10%):40% stocks, 40% bonds, 15% gold, 5% commodities

Balanced (σ=14%):50% stocks, 25% bonds, 15% gold, 10% commodities

Aggressive (σ=18%):65% stocks, 15% bonds, 10% gold, 10% commodities

📄
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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