Correlation

Investment Vehicles High Relevance

A statistical measure of how two securities move in relation to each other, expressed as a coefficient ranging from -1.0 to +1.0. Perfect positive correlation (+1.0) means securities move together identically, perfect negative correlation (-1.0) means they move in exact opposite directions, and zero correlation (0) means no relationship exists. Low or negative correlation between holdings is essential for effective portfolio diversification.

Example

Stocks and bonds typically have low or negative correlation, making them effective diversification partners. When equity markets decline, investors often move to Treasury bonds for safety, causing bonds to rise while stocks fall (inverse relationship). In contrast, technology stocks tend to have high positive correlation with each other, providing limited diversification benefits since they tend to move together.

Common Confusion

Students often confuse correlation with causation (correlation does not imply one causes the other) or mistakenly believe high correlation improves diversification (actually, LOW or NEGATIVE correlation improves diversification by reducing portfolio volatility).

How This Is Tested

  • Understanding that low or negative correlation between securities improves diversification effectiveness
  • Interpreting correlation coefficients: +1.0 (perfect positive), -1.0 (perfect negative), 0 (no correlation)
  • Recognizing that securities in the same sector typically have high positive correlation
  • Identifying appropriate asset pairs for diversification based on correlation characteristics
  • Understanding that correlation measures linear relationship but does not imply causation

Regulatory Limits

Description Limit Notes
Perfect positive correlation +1.0 Securities move together identically in the same direction
Perfect negative correlation -1.0 Securities move in exact opposite directions
No correlation 0 No linear relationship between security movements
Correlation coefficient range -1.0 to +1.0 All correlation values must fall within this range

Example Exam Questions

Test your understanding with these practice questions. Select an answer to see the explanation.

Question 1

Maria, age 52, is reviewing her $600,000 retirement portfolio with her investment adviser. Currently, the portfolio holds 15 different large-cap technology stocks. Maria wants to improve diversification to reduce volatility as she approaches retirement in 10 years. The adviser calculates that the average correlation between these technology holdings is approximately 0.85. Which recommendation would most effectively improve portfolio diversification?

Question 2

What is the range of possible values for a correlation coefficient between two securities?

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Question 3

An investment adviser is analyzing correlation coefficients for potential diversification partners with a client's existing stock portfolio. Which pair of correlation coefficients would provide the BEST diversification benefit when added to the portfolio?

Pair A: Correlation of +0.95 with existing holdings
Pair B: Correlation of +0.45 with existing holdings
Pair C: Correlation of -0.20 with existing holdings
Pair D: Correlation of +0.10 with existing holdings

Question 4

All of the following statements about correlation are accurate EXCEPT

Question 5

An investment adviser is analyzing correlation between different asset pairs for a diversified portfolio. Which of the following statements about correlation and diversification are accurate?

1. U.S. large-cap stocks and U.S. small-cap stocks typically have high positive correlation
2. Stocks and Treasury bonds typically have low or negative correlation, making them effective diversification partners
3. Two technology stocks with correlation of 0.05 would provide better diversification than two technology stocks with correlation of 0.85
4. A correlation of 0 between two securities means they are perfectly diversified

💡 Memory Aid

Think of correlation like dance partners: +1 = Move together (both step left together, no benefit), -1 = Move opposite (one goes left, one goes right, perfect balance), 0 = Move independently (doing different dances, good variety). For diversification, you want partners who DON'T move together (low or negative correlation), not partners who mirror each other (high positive correlation).

Related Concepts

This term is part of this cluster: