|
|
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 |
| |
0.575820 |
| |
0.575768 |
| |
0.575491 |
| |
0.575367 |
| |
0.575131 |
| |
0.575108 |
| |
0.574763 |
| |
0.574465 |
| |
0.574284 |
| |
0.574091 |
| |
0.573916 |
| |
0.573910 |
| |
0.573841 |
| |
0.573723 |
| |
0.573699 |
| |
0.573477 |
| |
0.573426 |
| |
0.572951 |
| |
0.572943 |
| |
0.572596 |
| |
0.572538 |
| |
0.572499 |
| |
0.572396 |
| |
0.572396 |
| |
0.572354 |
|
|
|
|
|
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.
|