|
|
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 |
| |
0.879677 |
| |
0.879597 |
| |
0.879597 |
| |
0.879579 |
| |
0.879561 |
| |
0.879545 |
| |
0.879460 |
| |
0.879425 |
| |
0.879359 |
| |
0.879300 |
| |
0.879164 |
| |
0.879095 |
| |
0.879087 |
| |
0.879080 |
| |
0.879004 |
| |
0.878901 |
| |
0.878822 |
| |
0.878813 |
| |
0.878764 |
| |
0.878759 |
| |
0.878688 |
| |
0.878688 |
| |
0.878639 |
| |
0.878603 |
| |
0.878591 |
|
|
|
|
|
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.
|