|
|
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 |
| |
0.180202 |
| |
0.180180 |
| |
0.180149 |
| |
0.180118 |
| |
0.180103 |
| |
0.179997 |
| |
0.179935 |
| |
0.179868 |
| |
0.179761 |
| |
0.179717 |
| |
0.179486 |
| |
0.179483 |
| |
0.179483 |
| |
0.179466 |
| |
0.179463 |
| |
0.179403 |
| |
0.179389 |
| |
0.179326 |
| |
0.179296 |
| |
0.179173 |
| |
0.179134 |
| |
0.179123 |
| |
0.179087 |
| |
0.179072 |
| |
0.179038 |
|
|
|
|
|
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.
|