Statistical AnalysisBeginner📖 5 min read

Correlation Analysis

The mathematical measure of relationships.

Range
-1 to +1
Diversification Goal
Close to 0

Correlation Analysis quantifies the degree to which two variables move in relation to each other. In finance, this is typically used to measure how an asset moves relative to a benchmark (like the S&P 500) or another asset (like Gold vs. USD). Understanding correlation is the bedrock of portfolio diversification.

Table of Contents

The Coefficient (r)

Interpreting 'r'

  • +1.0: Perfect Positive Correlation (Move exactly together).
  • 0.0: Uncorrelated (Move independently).
  • -1.0: Perfect Negative Correlation (Move exactly opposite).

Correlation Breakdown

Correlations are not static. During market crashes, correlations tend to spike towards +1, meaning 'diversification disappears when you need it most.' This phenomenon is known as correlation breakdown.

Key Takeaways

1

Correlation does not equal causation.

2

Low correlation assets reduce portfolio volatility.

3

Dynamic correlations require constant monitoring.

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