|
|
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 |
| |
0.573295 |
| |
0.573295 |
| |
0.573250 |
| |
0.573232 |
| |
0.573231 |
| |
0.573214 |
| |
0.573208 |
| |
0.573115 |
| |
0.573047 |
| |
0.572968 |
| |
0.572945 |
| |
0.572870 |
| |
0.572865 |
| |
0.572813 |
| |
0.572793 |
| |
0.572787 |
| |
0.572763 |
| |
0.572674 |
| |
0.572573 |
| |
0.572571 |
| |
0.572565 |
| |
0.572557 |
| |
0.572538 |
| |
0.572381 |
| |
0.572361 |
|
|
|
|
|
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.
|