R-Squared

Investment Vehicles High Relevance

A statistical measure indicating the percentage of a portfolio's movements that can be explained by movements in a benchmark index. Ranges from 0 to 1 (or 0% to 100%), with higher values indicating stronger correlation. High R-squared (above 0.85) means beta is a reliable predictor of portfolio behavior; low R-squared indicates significant unsystematic risk that beta does not capture.

Example

An S&P 500 index fund typically has an R-squared near 1.0 (100%) relative to the S&P 500, meaning virtually all its movements are explained by the index. An actively managed small-cap fund might have R-squared of 0.70 (70%) relative to the S&P 500, meaning 30% of its movement is due to factors other than broad market movements (manager stock selection, sector tilts, company-specific events).

Common Confusion

Students often think high R-squared is always better, but it simply indicates how closely a portfolio tracks its benchmark. Low R-squared does not mean poor performance; it means the portfolio behaves differently from the benchmark (which may be intentional for active managers). Also commonly confused with correlation coefficient: R-squared is the square of correlation, always positive, and represents explained variance.

How This Is Tested

  • Interpreting R-squared values to determine how much of portfolio movement is explained by benchmark
  • Understanding the relationship between R-squared and beta reliability (high R-squared makes beta more meaningful)
  • Distinguishing between systematic risk (measured by beta when R-squared is high) and unsystematic risk
  • Recognizing that low R-squared means significant portfolio movement comes from non-benchmark factors
  • Identifying when R-squared is too low to rely on beta for predicting portfolio behavior
  • Comparing R-squared values between actively managed funds and index funds

Regulatory Limits

Description Limit Notes
R-squared range 0 to 1 (or 0% to 100%) Cannot be negative; 1.0 (100%) indicates perfect correlation with benchmark
High R-squared threshold Above 0.85 (85%) Generally considered highly correlated to benchmark; beta is reliable predictor
Low R-squared threshold Below 0.70 (70%) Beta becomes less reliable; significant unsystematic risk present

Example Exam Questions

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

Question 1

Lisa, a portfolio manager, is evaluating two equity mutual funds for a client who wants exposure to large-cap stocks. Fund A has a beta of 1.15 and R-squared of 0.95 relative to the S&P 500. Fund B has a beta of 1.15 and R-squared of 0.65 relative to the S&P 500. Both funds have similar 5-year returns. Which statement best describes the difference between these funds?

Question 2

What is the range of possible values for R-squared?

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Question 3

A technology sector fund has an R-squared of 0.42 when compared to the S&P 500 index. What does this indicate about the fund?

Question 4

All of the following statements about R-squared are accurate EXCEPT

Question 5

An investment adviser is analyzing a mid-cap growth fund with the following statistics relative to the Russell Midcap Growth Index:

Beta: 1.20
R-squared: 0.88

Which of the following statements are accurate?

1. The fund is more volatile than the Russell Midcap Growth Index
2. Approximately 88% of the fund's movement can be explained by movements in the Russell Midcap Growth Index
3. The fund's beta is a reliable predictor of its behavior relative to the benchmark
4. The fund has eliminated most unsystematic risk through diversification

💡 Memory Aid

R-Squared = Reliability score for beta. High R² (near 100%) = portfolio is a copycat of benchmark (beta is trustworthy). Low R² (below 70%) = portfolio does its own thing (beta is unreliable, significant non-market risk). Think: R² answers "Can I rely on beta?"

Related Concepts

This term is part of this cluster:

Where This Appears on the Exam

This term is tested in the following Series 65 exam topics: