|
|
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 |
| |
0.335002 |
| |
0.334703 |
| |
0.334386 |
| |
0.334350 |
| |
0.334320 |
| |
0.334178 |
| |
0.334078 |
| |
0.333973 |
| |
0.333795 |
| |
0.333494 |
| |
0.333444 |
| |
0.333376 |
| |
0.333291 |
| |
0.333277 |
| |
0.333263 |
| |
0.333261 |
| |
0.333235 |
| |
0.333165 |
| |
0.333077 |
| |
0.332984 |
| |
0.332923 |
| |
0.332851 |
| |
0.332731 |
| |
0.332645 |
| |
0.332631 |
|
|
|
|
|
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.
|