|
|
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 |
| |
0.408630 |
| |
0.408481 |
| |
0.408479 |
| |
0.408368 |
| |
0.408213 |
| |
0.408206 |
| |
0.408190 |
| |
0.408083 |
| |
0.408069 |
| |
0.407903 |
| |
0.407769 |
| |
0.407677 |
| |
0.407665 |
| |
0.407649 |
| |
0.407427 |
| |
0.407248 |
| |
0.407216 |
| |
0.407151 |
| |
0.406887 |
| |
0.406626 |
| |
0.406598 |
| |
0.406562 |
| |
0.406497 |
| |
0.406460 |
| |
0.406420 |
|
|
|
|
|
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.
|