Lesson 15 of 20 · 7 min
Correlation, and why diversification fails when you need it
Correlations measured in calm markets are not the correlations you get in stressed ones.
Correlation is a number between minus one and plus one describing how much two things move together. Plus one means identically, zero means unrelated, minus one means opposite. Diversification's entire benefit comes from holding things whose correlations are below one.
The problem is that correlation is not a constant. It is an average over a sample period, and the sample period is usually dominated by ordinary conditions. In stressed markets, correlations across risk assets rise toward one — sometimes dramatically — because in a crisis the dominant driver of every price is the same thing: participants reducing exposure and demanding cash.
The consequence for a diversified portfolio is that its measured diversification benefit is largest exactly when it is not needed and smallest exactly when it is. A portfolio built to have a 12 percent volatility on historical correlations can behave like an 18 percent volatility portfolio in a month when correlations jump, and the leveraged holder discovers this at the trigger level rather than in a spreadsheet.
There is a second-order version specific to lending. Concentration limits and advance rates are set on asset classifications, and a lender may treat two holdings as different asset types while the market treats them as the same trade. Diversification that exists in the classification and not in the correlation gives you the lower haircut and none of the protection.
The honest statement about diversification is that it reduces ordinary volatility reliably and reduces crisis losses much less than the historical numbers suggest.
Key terms
- Correlation
- How much two series move together, from −1 to +1. Diversification depends on it being below 1, and it is not constant.
- Correlation breakdown
- The tendency of correlations across risk assets to rise toward 1 in stressed markets, reducing diversification when it is most needed.
- Effective diversification
- The diversification you actually have in a stressed regime, as opposed to the figure computed from a calm-period sample.
Worked example
What a correlation jump does to portfolio volatility
Two equally weighted holdings, each with 25% annual volatility. Portfolio volatility computed at two correlation levels.
- Correlation 0.30
- Portfolio volatility 20.2%
- Correlation 0.60
- Portfolio volatility 22.4%
- Correlation 0.90
- Portfolio volatility 24.4%
- Correlation 1.00
- Portfolio volatility 25.0%
- Diversification benefit at 0.30
- 4.8 points
- Diversification benefit at 0.90
- 0.6 points
The calm-period estimate.
No diversification at all.
Nearly all of it gone.
The benefit that justified the position size shrank from 4.8 points to 0.6 as correlations rose — and correlations rise in exactly the markets that test a threshold.
Check yourself
A two-holding portfolio has 20.2% volatility at a 0.30 correlation. What happens if correlation rises to 0.90 in a stressed market, and why does it matter to a leveraged holder?
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Educational only. Nothing in this lesson is investment, legal or tax advice, or a recommendation to enter into any transaction. Figures are illustrative and computed from the inputs stated in the lesson.