two similar series
- First series
- 2.1, -1.4, 3.2, 0.8, -2.6, 1.9
- Second series
- 1.8, -0.9, 2.4, 1.1, -1.9, 1.5
- Weight on the first
- 60%
Correlation0.99
Structural: portfolio volatility must not exceed the weighted average
Open this exampleCorrelation between two return series and what it does to a portfolio. Any correlation below one reduces portfolio volatility below the weighted average, which is the entire mathematical case for diversification.
Also called: portfolio correlation, diversification benefit.
The two move together with a correlation of 0.99. A 60/40% portfolio has volatility 2.01% against a weighted average of 2.01%, so diversification saves 0% points.
This is what the calculation gives for the numbers you entered. It is an estimate, not advice, and it knows nothing about your situation beyond those numbers. Rules for United States change on a published schedule; the effective date is shown on every rule-based tool.
Portfolio variance is not the weighted average of the two variances: it includes a cross term scaled by the correlation. When the correlation is below one that term is smaller than it would otherwise be, so the portfolio is less volatile than its parts weighted together. That gap is the diversification benefit, and it is the one free lunch in investing. At a correlation of exactly one it disappears entirely.
portfolio volatility falls below the weighted average whenever the correlation is under oneEach of these is asserted on every build. If a change to the engine ever moved one of these answers, the build would fail before the page could print it.
Correlation0.99
Structural: portfolio volatility must not exceed the weighted average
Open this exampleCorrelation1
boundary: the case where diversification gains nothing
Open this exampleFormula version 1.0.0 · definition 1.0.0 · United States · Report a problem with this calculator