|
|
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 |
| |
0.608989 |
| |
0.608617 |
| |
0.608602 |
| |
0.608490 |
| |
0.608279 |
| |
0.608226 |
| |
0.608194 |
| |
0.608023 |
| |
0.607934 |
| |
0.607930 |
| |
0.607904 |
| |
0.607699 |
| |
0.607583 |
| |
0.607540 |
| |
0.607494 |
| |
0.607445 |
| |
0.607337 |
| |
0.607324 |
| |
0.607300 |
| |
0.607245 |
| |
0.607237 |
| |
0.607218 |
| |
0.607208 |
| |
0.607159 |
| |
0.607058 |
|
|
|
|
|
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.
|