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Asset Correlations Updated yearly

How assets move together, in normal times and in crashes. Averages for ~2010-2025, crash windows, and a longest-term matrix. Or build your own with any tickers and any window.

Build your own correlation matrix
Add 2 to 8 tickers, stocks, ETFs, crypto or US housing, then pick the interval and lookback.
Normal periods
Crash periods
−1.0 (inverse)
+1.0 (correlated)
Longest-term correlation matrix
Each cell uses the maximum overlapping data window for that pair. Years shown below each value.
50+ yrs 30-49 yrs 10-29 yrs <10 yrs
Data availability by asset
Build your own matrix. Pearson correlation of overlapping periodic returns (dividend-adjusted closes; "US housing" uses the monthly Case-Shiller national index from FRED, so adding it forces monthly returns). Short windows and few observations make correlations noisy. The observation count is shown so you can judge. Market-price requests cover up to 10 years at each interval, subject to available overlapping data. The housing series is monthly only.

Fixed matrices.

About this page

Correlation matrices for stocks, bonds, gold, real estate and crypto in two states of the world: normal markets and crises (2008, COVID, 2022), plus a builder to compute the matrix for any tickers you choose.

The crisis matrices carry the lesson: correlations between risk assets lurch toward 1 exactly when diversification is needed most. Assets that look independent in calm years sold off together in 2008 and March 2020; historically only Treasuries, cash and occasionally gold kept their distance.

Frequently asked questions
Why do correlations rise in a crash?

Because panics are liquidity events: investors sell whatever can be sold to raise cash or meet margin calls, dragging unrelated assets down together. The fundamentals differ; the seller is the same.

What actually diversifies a stock portfolio?

Historically long-term Treasuries, cash and to a lesser degree gold and managed futures. In 2022 even Treasuries failed the job while commodities passed, a reminder that the diversifier depends on the crisis.

What does a correlation of 0.5 mean?

The two assets share about half their directional movement. Zero means no linear relationship; diversification benefits grow as correlation falls, and turn negative correlations into genuine hedges.