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Correlation Explained 📈 | Positive, Negative, Strong, Weak Linear Regression
Learn the difference between positive correlation, negative correlation, strong correlation, and weak correlation in just 9 seconds! This quick explainer uses simple graphs to show how relationships between bivariate data appear, including linear relationships and regression trends. Perfect for students, teachers, or anyone brushing up on ...
2.4K views10 months ago
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Pearson correlation measures linear dependence between two return streams as a single number between minus one and plus one. Compute it across thousands of instruments and you get a correlation matrix, the structural map of how the market moves together. Pairs that share a factor (same currency leg, same sector, same risk regime) cluster near plus or minus one by construction. The residual between them, fit by OLS, is the variance the shared factor cannot explain. If that residual is stationary,
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Pearson correlation measures linear dependence between two return streams
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