|
|
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 |
| |
0.786585 |
| |
0.786338 |
| |
0.785926 |
| |
0.785852 |
| |
0.785743 |
| |
0.785248 |
| |
0.785248 |
| |
0.783810 |
| |
0.783409 |
| |
0.782891 |
| |
0.781748 |
| |
0.780262 |
| |
0.778640 |
| |
0.778254 |
| |
0.777677 |
| |
0.777610 |
| |
0.777155 |
| |
0.776799 |
| |
0.776775 |
| |
0.776638 |
| |
0.776545 |
| |
0.776159 |
| |
0.776138 |
| |
0.776018 |
| |
0.775394 |
|
|
|
|
|
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.
|