|
|
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 |
| |
0.020224 |
| |
0.019593 |
| |
0.019297 |
| |
0.019158 |
| |
0.019089 |
| |
0.018830 |
| |
0.018830 |
| |
0.018714 |
| |
0.018462 |
| |
0.018414 |
| |
0.018035 |
| |
0.017778 |
| |
0.017778 |
| |
0.017536 |
| |
0.017427 |
| |
0.016999 |
| |
0.016914 |
| |
0.016727 |
| |
0.016306 |
| |
0.016124 |
| |
0.015803 |
| |
0.015764 |
| |
0.015757 |
| |
0.015638 |
| |
0.015498 |
|
|
|
|
|
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.
|