Correlation Coefficient
A statistical measure, ranging from -1 to 1, of how closely two assets' price movements track each other, used to gauge diversification benefit within a portfolio.
A correlation coefficient is a statistical measure, ranging from -1 to 1, of how closely two assets' price movements track each other over a given period. A coefficient near 1 means the assets have historically moved in the same direction together very closely; a coefficient near -1 means they've historically moved in opposite directions; and a coefficient near 0 means their price movements have shown little to no consistent relationship.
Correlation is central to portfolio construction and diversification: combining assets with low or negative correlation can reduce a portfolio's overall volatility relative to the same combined exposure spread across highly correlated assets, since losses in one holding are more likely to be offset by gains in another during the same period. Correlation coefficients aren't fixed, and many crypto assets that showed relatively low correlation to each other or to traditional markets during calmer periods have historically shown correlations rising sharply during periods of acute market stress, somewhat undermining the diversification benefit precisely when it would be most valuable. See Kaavon's plain "Correlation" glossary definition for the underlying concept this coefficient formally measures.
Examples
- A portfolio combining assets with a correlation coefficient near 0 generally experiences lower overall volatility than the same combined exposure concentrated in highly correlated assets.
- Correlation coefficients between crypto assets have historically tended to rise sharply during periods of acute market stress, reducing the diversification benefit precisely when it matters most.