|
|
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 |
| |
0.797000 |
| |
0.796985 |
| |
0.796959 |
| |
0.796785 |
| |
0.796562 |
| |
0.796544 |
| |
0.796526 |
| |
0.796512 |
| |
0.796416 |
| |
0.796005 |
| |
0.795589 |
| |
0.795588 |
| |
0.795331 |
| |
0.795093 |
| |
0.794857 |
| |
0.794755 |
| |
0.794430 |
| |
0.794276 |
| |
0.794212 |
| |
0.794163 |
| |
0.793518 |
| |
0.793511 |
| |
0.793255 |
| |
0.793180 |
| |
0.793167 |
|
|
|
|
|
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.
|