|
|
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 |
| |
1.000000 |
| |
0.999991 |
| |
0.997477 |
| |
0.997432 |
| |
0.996237 |
| |
0.995165 |
| |
0.994462 |
| |
0.993660 |
| |
0.901981 |
| |
0.901727 |
| |
0.901523 |
| |
0.901375 |
| |
0.900580 |
| |
0.899985 |
| |
0.899492 |
| |
0.897474 |
| |
0.897169 |
| |
0.895853 |
| |
0.894336 |
| |
0.889300 |
| |
0.888980 |
| |
0.888769 |
| |
0.880753 |
| |
0.878333 |
| |
0.877528 |
|
|
|
|
|
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.
|