Correlation — Why Owning 20 Stocks Isn't Always Diversified

If your 20 holdings are all tech companies, they'll likely rise and fall together — that's not real diversification. True diversification comes from combining assets that don't move in lockstep.

The Concept

Diversification Isn't About Counting Holdings

It's tempting to think "I own 20 different stocks, so I'm diversified." But diversification isn't about how many holdings you have — it's about how independently they move relative to each other. Correlation measures exactly that, on a scale from -1 to +1. A correlation of +1 means two assets move perfectly in lockstep; -1 means they move perfectly opposite each other; 0 means their movements are unrelated.

Twenty tech stocks are typically highly correlated — when the sector rallies or sells off, most of them move together, because they share the same economic drivers (interest rates, sector sentiment, tech spending cycles). Owning 20 of them concentrates your risk in "whatever moves tech stocks" almost as much as owning just two or three would. Real diversification comes from combining assets with low or negative correlation — different sectors, different asset classes (stocks and bonds, for instance), or different geographies.

The payoff of low correlation is genuine: when you blend two assets that don't move in lockstep, the combined portfolio's volatility can be lower than a simple average of the two individual volatilities — smoothing out the ride without necessarily sacrificing much expected return. That "free" risk reduction from combining imperfectly-correlated assets is one of the few things in investing sometimes called a "free lunch."

🔀 The Correlation Scale

-1.0 (opposite)
0.0 (unrelated)
+1.0 (lockstep)

Twenty tech stocks typically cluster around +0.7 to +0.9 — close to the "lockstep" end. Stocks and long-term government bonds have often sat closer to 0 or even slightly negative over long periods, though this relationship isn't fixed and can shift, especially during periods of high inflation.

📊 Illustrative Example: 20 Tech Stocks vs a Mixed Portfolio

Real correlations vary by period and by the specific holdings, so here's a clean illustrative comparison to see the mechanics clearly.

Portfolio# HoldingsAvg. CorrelationIndividual VolatilityPortfolio Volatility
20 Tech Stocks20~0.80~35%~32%
Mixed (Stocks + Bonds + Gold)20~0.25~35%~19%

Both portfolios hold 20 positions with similar individual volatility — but the highly-correlated tech portfolio barely reduces overall volatility versus a single stock, while the mixed portfolio's lower average correlation cuts volatility by nearly half. Same number of holdings, dramatically different diversification benefit — purely because of correlation.

Watch For This

5 Things to Know About Correlation

  1. Number of holdings isn't the same as diversification — 20 highly-correlated stocks provide far less risk reduction than a handful of genuinely different assets.
  2. Correlation ranges from -1 to +1 — closer to 0 or negative is where real diversification benefit lives.
  3. Combining low-correlation assets can reduce portfolio volatility below a simple average — a genuine, not-quite-free benefit of diversification.
  4. Correlations aren't fixed — they can shift over time, and famously tend to rise during market crises, right when diversification is needed most.
  5. Different sectors or asset classes usually beat different stocks in the same sector — for genuine diversification benefit.
Put It Into Practice

4 Things to Check for Real Diversification

🏭 Check Sector Spread

  • Are your holdings spread across genuinely different sectors, or clustered in one or two?

🌍 Check Asset Class Spread

  • Stocks, bonds, cash, and alternatives each respond differently to the same economic conditions.

📉 Remember Correlations Can Rise in Crises

  • Don't assume historical correlation will hold exactly during the next major sell-off.

🔢 Count Real Diversification, Not Just Ticker Count

  • Ask what's actually driving each holding's returns, not just how many tickers you own.
Worth knowing: correlation is estimated from historical data and can shift, especially in market stress. Treat correlation figures as a useful guide to structuring a portfolio, not a guaranteed, fixed relationship.
Activity

Try It Yourself: Diversification Benefit Calculator

Enter two assets' individual volatility and their correlation — see the blended volatility of an equal-weight combination, and how much diversification actually helped.

Simple Average Volatility
Actual Blended Volatility

Model: equal-weight (50/50) blend. Portfolio volatility = √(0.25×σA² + 0.25×σB² + 0.5×ρ×σA×σB) — the standard two-asset portfolio variance formula. Lower correlation (ρ) means more of the individual volatility "cancels out" in the blend.

End of Lesson

Quick Check: 5 Questions

Answer all five, then hit "Check My Answers" to see how you did. Get one wrong? No problem — the explanation will show you exactly why.

0/5
Nice work — review any explanations below to lock it in.
1. What does correlation measure?
Correlation ranges from -1 to +1 and measures how closely two assets move together (or apart).
2. Why might 20 tech stocks not provide much real diversification?
High correlation among tech stocks means they concentrate risk in shared drivers, even with many holdings.
3. What is the range of possible correlation values?
Correlation ranges from -1 (perfectly opposite) through 0 (unrelated) to +1 (perfectly in lockstep).
4. Why is combining low-correlation assets sometimes called a "free lunch" in investing?
Blending imperfectly-correlated assets can lower overall volatility below what a simple average would suggest — a genuine diversification benefit.
5. Why should you be cautious about relying on historical correlation figures?
Correlations aren't fixed — they can rise sharply during crises, right when diversification is needed most.
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Next Up: Rebalancing

Now that you can judge real diversification, the next step is keeping your carefully-built mix from quietly drifting away from target.