Correlations Matrix
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Correlation is calculated from log returns built on approximately 20-minute interval price points. A pair must have at least 30 aligned return observations for this period; otherwise, the matrix shows --.
Correlation
Positively correlated variables tend to move together, negatively correlated variables move inversely to each other, and uncorrelated variables move independently of each other.Pearson Correlation Coefficient
The Pearson Correlation Coefficient quantifies the estimated strength of the linear association between two variables. It ranges from +1 to -1: +1 indicates a perfect positive linear correlation, -1 a perfect negative linear correlation, 0 indicates no linear correlation.
Values
Positive: Indicates a positive correlation between two variables.
Negative: Indicates a negative correlation between two variables.
Zero: No correlation between two variables.