Lesson 4 of 7 · All lessons in this module
  1. Portfolio expected return and varianceVideo lesson
  2. Covariance and correlation
  3. The covariance matrix and many-asset portfolios
  4. Correlation and diversification
  5. Covariance from a joint probability function
  6. Shortfall risk and Roy's safety-first criterion
  7. Shortfall probability, the Sharpe ratio and VaR

Lesson 4 of 7 · 12 min

Correlation and diversification

Lower covariance between holdings lowers portfolio risk without lowering expected return; that free risk reduction is the diversification benefit.

In short

  • Portfolio variance = squared-weight variance terms + covariance terms. Only the covariance terms depend on co-movement.
  • Independent (zero-covariance) assets leave only the variance terms; negative covariances cut risk further.
  • Expected return does not depend on correlation, so lower correlation means less risk for the same expected return: the diversification benefit.
  • At ρ\rho = +1 there is no benefit: σp\sigma_p is the weighted average of the σ\sigmas. The lower ρ\rho, the bigger the benefit.
  • Changing weights traces out a curve of risk–return combinations; with low correlation, adding some of a riskier asset can even lower total risk.

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