|
|
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 |
| |
0.842905 |
| |
0.842862 |
| |
0.842768 |
| |
0.842763 |
| |
0.842736 |
| |
0.842723 |
| |
0.842605 |
| |
0.842602 |
| |
0.842584 |
| |
0.842584 |
| |
0.842559 |
| |
0.842516 |
| |
0.842515 |
| |
0.842515 |
| |
0.842513 |
| |
0.842469 |
| |
0.842461 |
| |
0.842412 |
| |
0.842346 |
| |
0.842335 |
| |
0.842330 |
| |
0.842317 |
| |
0.842280 |
| |
0.842210 |
| |
0.842210 |
|
|
|
|
|
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.
|