|
|
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 |
| |
0.490129 |
| |
0.490114 |
| |
0.489939 |
| |
0.489792 |
| |
0.489777 |
| |
0.489774 |
| |
0.489757 |
| |
0.489757 |
| |
0.489503 |
| |
0.489371 |
| |
0.489316 |
| |
0.489285 |
| |
0.489274 |
| |
0.489193 |
| |
0.489002 |
| |
0.488949 |
| |
0.488824 |
| |
0.488797 |
| |
0.488640 |
| |
0.488615 |
| |
0.488414 |
| |
0.488160 |
| |
0.488045 |
| |
0.487992 |
| |
0.487958 |
|
|
|
|
|
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.
|