|
|
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 |
| |
0.321563 |
| |
0.321498 |
| |
0.321348 |
| |
0.321285 |
| |
0.321273 |
| |
0.321255 |
| |
0.321250 |
| |
0.321150 |
| |
0.321127 |
| |
0.321076 |
| |
0.321066 |
| |
0.320869 |
| |
0.320778 |
| |
0.320685 |
| |
0.320569 |
| |
0.320508 |
| |
0.320412 |
| |
0.320405 |
| |
0.320390 |
| |
0.320189 |
| |
0.320084 |
| |
0.320082 |
| |
0.320071 |
| |
0.320044 |
| |
0.320011 |
|
|
|
|
|
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.
|