Savvy Nickel LogoSavvy Nickel
Ctrl+K

Correlation

Basic Finance

Correlation

Quick Definition

Correlation is a statistical measure that quantifies the degree to which two variables move in relation to each other. In investing, it measures how closely two assets' returns move together over time. The correlation coefficient ranges from -1.0 (perfectly inverse) to +1.0 (perfectly synchronized), with 0 indicating no relationship.

Correlation Coefficient (r) ranges from -1.0 to +1.0

What It Means

Correlation is the mathematical engine behind diversification. When two assets have a correlation below 1.0, combining them in a portfolio reduces the portfolio's overall volatility without proportionally reducing expected returns. The lower the correlation, the greater the diversification benefit.

Harry Markowitz's Modern Portfolio Theory (1952) demonstrated mathematically that you can construct portfolios with better risk-adjusted returns by combining assets with low or negative correlations — even if each individual asset is risky in isolation.

Interpreting Correlation Coefficients

CoefficientInterpretationPortfolio Implication
+1.0Perfect positive correlationNo diversification benefit
+0.7 to +0.9Strong positiveLimited diversification
+0.3 to +0.7Moderate positiveSome diversification benefit
0.0No correlationGood diversification
-0.3 to -0.3Weak to moderate negativeStrong diversification
-0.7 to -1.0Strong negativeMaximum diversification benefit
-1.0Perfect negativePerfect hedge (rare)

Historical Correlations Between Major Asset Classes

Asset PairLong-Run CorrelationNotes
US stocks vs. US bonds-0.1 to +0.3Varies by interest rate regime
US stocks vs. international developed stocks+0.75 to +0.90High; limited diversification
US stocks vs. emerging markets+0.65 to +0.80Moderate diversification
US stocks vs. gold-0.05 to +0.10Near zero; strong diversification
US stocks vs. REITs+0.65 to +0.80Moderate; both equity-like
US stocks vs. commodities+0.05 to +0.30Low; good diversification
US bonds vs. gold+0.05 to +0.20Low; some diversification
US large cap vs. US small cap+0.80 to +0.92High; same market exposure
Bitcoin vs. US stocks+0.20 to +0.60Variable; crisis convergence

Why Stock-Bond Correlations Change Over Time

The most important correlation in portfolio construction — stocks vs. bonds — is not stable:

PeriodStock-Bond CorrelationDriver
1970s-1990sPositive (+0.2 to +0.5)Inflation dominated; both hurt by rising rates
2000-2020Negative (-0.2 to -0.3)Deflation risk; flight to bonds during equity selloffs
2022Strongly positiveBoth devastated by rapid rate hikes; bonds failed to hedge
2023-2024Near zero to slightly negativeReturning toward historical norm

In 2022, the traditional 60/40 portfolio lost over 16% — the worst year in decades — because stocks AND bonds fell together when the Fed hiked rates aggressively. This broke the negative correlation assumption that made 60/40 portfolios appear "safe."

The Diversification Math

Two assets, each with 15% annual standard deviation (volatility):

CorrelationCombined Portfolio Volatility (50/50)
+1.015.0% (no reduction)
+0.813.4%
+0.511.9%
0.010.6%
-0.57.5%
-1.00% (perfect hedge)

By combining two equally risky assets with zero correlation (50/50), portfolio volatility drops from 15% to 10.6% — a 29% reduction with no expected return sacrifice.

Rolling Correlation: How It Changes Over Time

Correlations are not static — they evolve with market regimes:

US Stocks vs. Bonds 36-month rolling correlation (illustrative):

  • 1995-2000: +0.30 (positive, inflationary era ending)
  • 2002-2008: -0.25 (negative, deflation/low inflation era)
  • 2010-2019: -0.30 (low inflation; bonds reliably hedged stocks)
  • 2022: +0.50 (inflation spike broke the negative relationship)
  • 2024: -0.10 (partial restoration of negative correlation)

Using only long-term average correlations misses the regime-dependency that can cause "diversified" portfolios to fail in specific environments.

Crisis Correlation: The Problem With Tail Risk

In market crises, correlations between risk assets tend to converge toward +1.0:

March 2020 (COVID crash) — peak stress correlations:

  • US stocks vs. international stocks: ~+0.95 (near perfect sync)
  • US stocks vs. corporate bonds: ~+0.85 (both sold off)
  • US stocks vs. REITs: ~+0.90
  • US stocks vs. commodities (oil): ~+0.85

Almost everything fell together. The only reliable crisis diversifiers were US Treasuries, cash, and gold.

This "correlation convergence" is a well-documented phenomenon: diversification benefits disappear precisely when you need them most. This is why truly defensive portfolios hold genuine safe havens (short-term Treasuries, cash), not just equity diversification.

Key Points to Remember

  • Correlation ranges from -1.0 to +1.0 — lower correlations produce greater diversification benefits
  • The stock-bond correlation is the most important in portfolio construction — but it is not stable and failed dramatically in 2022
  • Near-zero correlation assets (gold, commodities) provide the best diversification alongside stocks
  • Crisis correlation convergence — in severe market stress, most risk assets fall together regardless of normal correlations
  • Combining two assets with zero correlation reduces portfolio volatility by ~29% with no expected return sacrifice
  • Rolling correlations reveal how relationships shift over time — static averages miss important regime changes

Frequently Asked Questions

Q: If international stocks have high correlation with US stocks, why own both? A: Correlation of 0.85 still provides some diversification benefit — it is not perfect correlation. Additionally, over very long periods, international stocks can outperform US stocks significantly (the 2000s were a US underperformance decade when international stocks vastly outperformed). Expected return differences are a reason to diversify internationally beyond just the correlation argument.

Q: Is Bitcoin a good diversifier? A: Historically, Bitcoin's correlation with US stocks has been low over long periods — suggesting diversification value. However, during acute risk-off events (COVID crash of March 2020; 2022 bear market), Bitcoin sold off aggressively alongside stocks — exhibiting crisis correlation convergence. The diversification benefit is real but unreliable during exactly the periods when you need it most.

Q: How do I calculate correlation between two assets? A: Correlation (r) = Covariance(A,B) / (Standard deviation of A × Standard deviation of B). In Excel: =CORREL(Array1, Array2). Most investment platforms and portfolio analysis tools display rolling and historical correlations automatically. For personal portfolio analysis, tools like Portfolio Visualizer (portfoliovisualizer.com) provide free correlation matrices.

Back to Glossary
Financial Term DefinitionBasic Finance