|
|
Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
|
|
|
|
| Symbol | Correlation |
| |
0.432861 |
| |
0.432854 |
| |
0.432816 |
| |
0.432810 |
| |
0.432581 |
| |
0.432578 |
| |
0.432436 |
| |
0.432413 |
| |
0.432389 |
| |
0.432378 |
| |
0.432372 |
| |
0.432345 |
| |
0.432268 |
| |
0.432242 |
| |
0.432160 |
| |
0.432132 |
| |
0.432129 |
| |
0.432123 |
| |
0.432120 |
| |
0.432093 |
| |
0.432074 |
| |
0.431951 |
| |
0.431950 |
| |
0.431943 |
| |
0.431939 |
|
|
|
|
|
Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
|