|
|
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 |
| |
0.896546 |
| |
0.896545 |
| |
0.896390 |
| |
0.896375 |
| |
0.896370 |
| |
0.896357 |
| |
0.896342 |
| |
0.896256 |
| |
0.896120 |
| |
0.895990 |
| |
0.895972 |
| |
0.895836 |
| |
0.895742 |
| |
0.895721 |
| |
0.895719 |
| |
0.895645 |
| |
0.895582 |
| |
0.895560 |
| |
0.895449 |
| |
0.895431 |
| |
0.895266 |
| |
0.895186 |
| |
0.895154 |
| |
0.895083 |
| |
0.895059 |
|
|
|
|
|
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.
|