|
|
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 |
| |
0.443334 |
| |
0.443334 |
| |
0.443274 |
| |
0.443136 |
| |
0.443136 |
| |
0.443067 |
| |
0.443059 |
| |
0.443041 |
| |
0.442930 |
| |
0.442857 |
| |
0.442848 |
| |
0.442827 |
| |
0.442792 |
| |
0.442723 |
| |
0.442650 |
| |
0.442641 |
| |
0.442601 |
| |
0.442571 |
| |
0.442564 |
| |
0.442560 |
| |
0.442507 |
| |
0.442425 |
| |
0.442393 |
| |
0.442371 |
| |
0.442368 |
|
|
|
|
|
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.
|