|
|
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 |
| |
0.684744 |
| |
0.684597 |
| |
0.684562 |
| |
0.684319 |
| |
0.684205 |
| |
0.683980 |
| |
0.683879 |
| |
0.683338 |
| |
0.683285 |
| |
0.683268 |
| |
0.683261 |
| |
0.683254 |
| |
0.683147 |
| |
0.682921 |
| |
0.682842 |
| |
0.682519 |
| |
0.682029 |
| |
0.681998 |
| |
0.681923 |
| |
0.681759 |
| |
0.681545 |
| |
0.681446 |
| |
0.681404 |
| |
0.681280 |
| |
0.681277 |
|
|
|
|
|
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.
|