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Correlation Matrix Cheat Sheet

A correlation matrix shows how different asset classes move relative to each other. Correlation ranges from −1 (perfectly inverse) to +1 (perfectly in sync). Effective diversification requires combining assets with low or negative correlations.

How to Read Correlation Values

Correlation RangeInterpretationPortfolio Impact
+0.70 to +1.00Strong positive — assets move togetherLow diversification benefit
+0.30 to +0.69Moderate positive — some co-movementPartial diversification
−0.29 to +0.29Low/no correlation — mostly independentGood diversification
−0.30 to −0.69Moderate negative — tend to offsetStrong diversification
−0.70 to −1.00Strong negative — move oppositeMaximum diversification (hedge)

Historical Asset Class Correlation Matrix

Based on long-term (20+ year) historical data. These are approximate ranges — correlations shift over time.

US StocksInt’l StocksUS BondsReal EstateCommoditiesGoldCash
US Stocks1.000.75−0.100.550.300.05−0.05
Int’l Stocks0.751.00−0.050.500.350.10−0.05
US Bonds−0.10−0.051.000.15−0.100.300.15
Real Estate0.550.500.151.000.200.100.00
Commodities0.300.35−0.100.201.000.40−0.10
Gold0.050.100.300.100.401.000.05
Cash−0.05−0.050.150.00−0.100.051.00

Correlations During Market Crises

Correlations are not stable. During market stress, the diversification you counted on can evaporate.

Asset PairNormal CorrelationCrisis CorrelationChange
US Stocks vs. Int’l Stocks+0.75+0.90 to +0.95Rises sharply — global sell-offs
US Stocks vs. US Bonds−0.10−0.30 to −0.50Becomes more negative — flight to safety
US Stocks vs. Real Estate+0.55+0.80 to +0.90Rises sharply — 2008 proved this
US Stocks vs. Gold+0.05−0.10 to −0.30Gold acts as safe haven
US Stocks vs. Commodities+0.30+0.60 to +0.80Rises — demand-driven sell-off hits both

Correlation & Diversification Math

Two-Asset Portfolio Variance σ²p = w₁²σ₁² + w₂²σ₂² + 2w₁w₂σ₁σ₂ρ₁₂

Where w = weight, σ = standard deviation, and ρ = correlation. Lower ρ directly reduces portfolio variance — that’s the mathematical proof of why diversification works.

Correlation Coefficient ρ = Cov(X,Y) ÷ (σx × σy)

Practical Diversification Pairs

PairingTypical CorrelationWhy It Works
US Stocks + US Bonds−0.10Classic 60/40 — bonds buffer stock declines
US Stocks + Gold+0.05Gold provides crisis protection and inflation hedge
US Stocks + International Bonds−0.15Currency diversification adds another layer
Stocks + Commodities + BondsMixed lowThree-asset combo captures most diversification benefit
Analyst Tip
Don’t just look at static correlations. Run rolling 12-month correlations to see how the relationship between assets changes over time. This is especially important for rebalancing decisions — you might discover that two assets you thought were diversifiers have become highly correlated.
Watch Out
Correlation is not causation, and it’s not constant. The 2008 financial crisis showed that nearly all risk assets became highly correlated during extreme stress. Only US Treasuries and cash maintained their diversification benefit. Build portfolios that survive correlation spikes, not just normal markets.

Key Takeaways

  • Correlation ranges from −1 to +1; lower correlation = better diversification
  • US stocks and bonds have a slightly negative correlation — the foundation of balanced portfolios
  • Correlations spike during crises, reducing diversification exactly when you need it most
  • Gold and cash are the most reliable diversifiers during severe market stress
  • Use rolling correlations rather than static historical averages for portfolio decisions

Frequently Asked Questions

What is a good correlation for diversification?

Below +0.30 is generally considered helpful for diversification. Below 0 (negative correlation) provides even stronger benefits. The ideal portfolio combines assets with the lowest possible correlations while still maintaining positive expected returns.

Why do correlations increase during market crashes?

During panics, investors sell everything to raise cash, creating a “sell everything” dynamic. Risk aversion overrides fundamental differences between asset classes. This is called “correlation convergence” and it’s one of the biggest challenges in portfolio construction.

How often should I recalculate my correlation matrix?

At minimum quarterly, but ideally use rolling 12-month or 36-month windows. Correlations can shift significantly due to changes in monetary policy, market cycles, or structural economic changes. What worked in 2015 may not apply in 2025.

Does adding more asset classes always improve diversification?

Not necessarily. If the new asset class is highly correlated with what you already own, it adds complexity without benefit. The incremental diversification benefit diminishes after 4–5 uncorrelated asset classes. Quality of diversification matters more than quantity.

How is correlation different from beta?

Correlation measures the direction and strength of the linear relationship between two assets (−1 to +1). Beta measures how much an asset moves relative to the market (can be any positive or negative number). Beta = Correlation × (σ asset ÷ σ market).