Core Path · L2.6.05

Diversification and its limits

10 minPortfolio riskCorrelation

By the end you will be able to

  1. 1Explain why diversification works, and why correlations rise in a crisis.
  2. 2Calculate the volatility of n equally weighted assets with a common correlation, and its floor.
  3. 3Split a portfolio's risk into a common part and a specific part.
  4. 4Explain why diversification is weakest when it is needed most, and what risk managers do about it.

Why it matters

Owning twenty shares instead of one cuts risk sharply. Then a crisis arrives, almost everything falls at once, and the portfolio behaves like one big share. Diversification is strongest in calm markets and weakest in a crisis, just when it is needed.

Core explanation

Cancelling out, up to a point

L2.5.03: Correlation and diversification showed that two assets that do not move exactly together make a portfolio less volatile than either on its own. Here is why that keeps working as you add more, and why it stops.

Two kinds of news. A share moves on news about its own company: a product launch, a lawsuit, a new chief executive. That is specific risk, and across many companies the good and bad surprises cancel. A share also moves on news that hits nearly every company: a recession, a jump in interest rates, a pandemic. That is common risk, and adding more shares cannot cancel it, because they all feel it. Diversification removes the first kind and leaves the second.

A simple model. Hold n assets in equal amounts. Give each the same volatility σ and every pair the same correlation ρ, in the notation of M2.5: First risk measures. Then

σp=σρ+1−ρn\sigma_p = \sigma\sqrt{\rho + \frac{1-\rho}{n}}

As n grows, the second term shrinks to nothing, and the volatility falls to a floor of σρ\sigma\sqrt{\rho}. The correlation sets the floor: with ρ = 0.25 a portfolio can never be less than 50% as volatile as one asset; with ρ = 0.60, never less than about 77%.

AssetsVolatility, ρ = 0.25Volatility, ρ = 0.60
130.00%30.00%
223.72%26.83%
518.97%24.74%
1017.10%24.00%
2016.09%23.62%
5015.44%23.39%
10015.22%23.32%

Each asset has 30% volatility. Most of the benefit comes from the first fifteen or twenty assets; after that the curve is nearly flat.

Why correlations rise in a crisis. In a crisis one shock dominates every price. Investors who face margin calls or redemptions must sell what they can, not what they would like to, so even unrelated assets fall together. Volatility rises at the same time. Both the σ and the ρ in the formula go up, and the floor rises with them. This is crisis correlation, and it has happened again and again:

When everything fell together

1 / 4

2003 to 2006

Calm markets

Volatility is low and correlations between shares, sectors and countries are moderate. Diversified portfolios behave as the formula promises, and risk models are fitted to this data.

What risk managers do about it. They check portfolios with correlations and volatilities from stressed periods, not only calm ones (L2.5.09: Stress testing). They set concentration limits by name, sector and country, so no single shock can do too much damage. And they look for protection that pays when correlations jump, such as the puts of L2.6.03: Hedging with options. A single correlation number is also a simplification: real portfolios need a full correlation matrix, and the way assets fall together in the tails goes beyond correlation. Both come later in the course (M5.1: Statistical foundations for risk models).

The formal version

The formula comes from the variance of a sum of random variables (see the Math Atom on combining random variables), the same rule that gives the two-asset formula. With weights wi=1/nw_i = 1/n:

σp2=∑iwi2σ2+∑i≠jwiwj ρ σ2\sigma_p^2 = \sum_{i} w_i^2\sigma^2 + \sum_{i \ne j} w_i w_j\,\rho\,\sigma^2

There are n terms in the first sum and n(n − 1) pairs in the second:

σp2=n⋅1n2σ2+n(n−1)⋅1n2 ρ σ2=σ2n+(1−1n)ρ σ2\sigma_p^2 = n \cdot \frac{1}{n^2}\sigma^2 + n(n-1)\cdot\frac{1}{n^2}\,\rho\,\sigma^2 = \frac{\sigma^2}{n} + \Big(1 - \frac{1}{n}\Big)\rho\,\sigma^2
σp2=σ2(ρ⏟common+1−ρn⏟specific)\sigma_p^2 = \sigma^2\Big(\underbrace{\rho}_{\text{common}} + \underbrace{\frac{1-\rho}{n}}_{\text{specific}}\Big)

The common part stays whatever n is; the specific part shrinks like 1/n. The share of variance that is common is ρ / (ρ+(1−ρ)/n)\rho \,/\, \big(\rho + (1-\rho)/n\big). At n = 2 the formula is the two-asset formula with equal weights and equal volatilities.

Assumptions

Equal weights, equal volatilities and one correlation for every pair. Real assets differ, but the lesson holds: the average correlation sets a floor that adding more similar assets cannot break.

Try it

Start in the calm market and slide n from 1 to 50: watch how quickly the curve flattens. Then press “Crisis”: the whole curve jumps, and the floor with it. Finally, set ρ to 0 and see what diversification could do if correlations really were zero.

Try itThe diversification curve

Covariance matrix tool →
Portfolio volatility against n your ρ ρ = 0, same σ
0%10%20%30%40%50%60%11020304050number of assetsfloor σ√ρ = 15.0%
One asset30.0%
Portfolio of 2016.09%
Floor15.00%
Risk removed46.4%
Common share of variance87%

About 15 assets get within 10% of the floor.

Equally weighted assets, each with the same volatility and the same correlation with every other. Annual volatilities. Illustrative.

Worked example

A 20-share fund, calm and crisis

An equity fund holds 20 shares in equal amounts. Each has an annual volatility of 30%. In calm years the average correlation between them is 0.25. The risk team asks what happens in a crisis, when correlations rise to 0.60 and each share's volatility rises to 45%. All figures are illustrative.

Calm, then crisis

Step 1 of 4
  1. 1

    Calm volatility

    σp=30%×0.25+0.75/20=30%×0.2875=16.09%\sigma_p = 30\% \times \sqrt{0.25 + 0.75/20} = 30\% \times \sqrt{0.2875} = 16.09\%. Diversification has removed almost half the risk of a single share.

Regulatory lens

Rules limit concentration because diversification cannot be relied on to do it. The Basel large exposures framework caps a bank's exposure to a single counterparty, or a group of connected ones, at 25% of its Tier 1 capital (M4.4: Counterparty, operational and large exposures). EU UCITS funds may hold at most 10% of their assets in one issuer, and holdings above 5% may not add up to more than 40%. Solvency II's standard formula gives insurers credit for diversification between risks, but through fixed correlation matrices set with stressed markets in mind (M4.6: Solvency II and insurance regulation).

Sparks

SparkWhere the formula came from
Harry Markowitz set out the maths of diversification in “Portfolio Selection”, published in the Journal of Finance in 1952: a portfolio should be judged by its overall risk and return, not asset by asset. He shared the Nobel Prize in economics in 1990 for this work.
SparkWhen regions turned into one market
Before 2007, many models used to rate US mortgage securities assumed that house prices in different regions would not all fall at once, so a pool of mortgages from across the country looked well diversified. US house prices then fell nationwide, and securities that relied on that diversification suffered heavy losses.

Key takeaways

  • Diversification cancels specific risk; it cannot cancel common risk.
  • For n equal assets with common correlation ρ: σ_p = σ √(ρ + (1 − ρ)/n).
  • The floor is σ√ρ. Most of the benefit comes from the first fifteen to twenty assets.
  • In a crisis correlations and volatilities rise together, so the floor rises just when losses come.
  • Risk managers test with stressed correlations, limit concentration and look for protection that pays in a crisis.

Reaction

Check what stuck

Question 1 · objective 2

Ten shares, equally weighted, each with 20% volatility and a correlation of 0.3 between every pair. What is the portfolio's volatility, in %, to two decimals?

%

Question 2 · objective 2

Each asset has 25% volatility and every pair has a correlation of 0.36. However many you hold, what is the lowest volatility an equally weighted portfolio can reach, in %?

%

Question 3 · objective 3

A fund already holds 30 shares with a common correlation of 0.3. It adds 30 more similar shares. What happens to its risk?

Question 4 · objective 4

A portfolio of 25 shares, each with 30% volatility, was built when correlations were 0.2. In a crisis the correlation jumps to 0.6. What is its volatility now, in %, to two decimals?

%

Question 5 · objective 1

Why do correlations between risky assets tend to rise in a crisis?

Glossary

Diversification
Spreading money across assets that do not move exactly together, so their ups and downs partly cancel.
Specific risk
Risk that comes from news about one asset only, such as a product failure. It cancels out across many assets.
Common risk
Risk that comes from news that moves most assets together, such as a recession or a change in interest rates. Also called systematic or market risk.
Diversification floor
The volatility a portfolio cannot go below however many similar assets it holds: σ√ρ.
Crisis correlation
The tendency of correlations between risky assets to rise in a crisis, when most of them fall together.
Concentration risk
Risk from having too much exposure to one name, sector, country or risk factor.

Deep Dives & Origins

Deep Dives

  • Zvi Bodie, Alex Kane and Alan J. Marcus, Investments, 13th edition (McGraw-Hill, 2024), the chapter on optimal risky portfolios. Intermediate.

  • Financial Stability Board, Holistic Review of the March Market Turmoil (November 2020). Intermediate.

Origins

  • Harry Markowitz, “Portfolio Selection”, Journal of Finance 7(1), 1952.
  • Financial Stability Board, Holistic Review of the March Market Turmoil, November 2020.
  • Basel Committee on Banking Supervision, Supervisory framework for measuring and controlling large exposures, April 2014.
  • Directive 2009/65/EC (UCITS), Article 52, investment limits.
  • US Financial Crisis Inquiry Commission, The Financial Crisis Inquiry Report, January 2011.

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