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Correlation

Correlation measures how assets move relative to each other and is central to real diversification.

What Correlation Measures

Correlation captures how two return series move together. It ranges from -1 (move opposite) to +1 (move together). A portfolio’s correlation structure largely determines whether diversification is real or cosmetic.

Correlation = Covariance(A,B) ÷ (StdDev(A) × StdDev(B))

How To Use Correlation

  • Use rolling windows to see how relationships change across regimes.
  • Group holdings into correlation clusters and cap cluster exposure.
  • Assume correlations rise during stress, and size risk accordingly.

Common Pitfalls

  • Assuming sector labels imply independence.
  • Using one static correlation estimate as if it is permanent.
  • Ignoring volatility: uncorrelated does not mean low risk.

Apply Correlation In AlgoVestIQ

Correlation FAQs

Why do correlations change over time?

Correlation is not a constant. It changes as macro drivers, liquidity, positioning, and risk appetite change. In stress periods, many assets share common drivers and correlations tend to rise.

Does low correlation mean low risk?

No. An asset can be uncorrelated and still be very volatile. Correlation helps with diversification; it does not replace volatility and drawdown analysis.

How should I use correlation in portfolio decisions?

Use it to detect hidden concentration. Combine correlation clusters with position sizing and risk budgets so your portfolio is not dominated by one underlying driver.