|
|
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 |
| |
0.243743 |
| |
0.243650 |
| |
0.243599 |
| |
0.243543 |
| |
0.243537 |
| |
0.243532 |
| |
0.243519 |
| |
0.243340 |
| |
0.243329 |
| |
0.243305 |
| |
0.243220 |
| |
0.243208 |
| |
0.243206 |
| |
0.243136 |
| |
0.243083 |
| |
0.243079 |
| |
0.243079 |
| |
0.243059 |
| |
0.242922 |
| |
0.242851 |
| |
0.242831 |
| |
0.242813 |
| |
0.242792 |
| |
0.242745 |
| |
0.242712 |
|
|
|
|
|
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.
|