|
|
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 |
| |
0.207025 |
| |
0.206977 |
| |
0.206945 |
| |
0.206906 |
| |
0.206802 |
| |
0.206768 |
| |
0.206707 |
| |
0.206706 |
| |
0.206656 |
| |
0.206635 |
| |
0.206635 |
| |
0.206610 |
| |
0.206599 |
| |
0.206574 |
| |
0.206463 |
| |
0.206321 |
| |
0.206319 |
| |
0.206274 |
| |
0.206205 |
| |
0.206163 |
| |
0.206154 |
| |
0.206066 |
| |
0.206057 |
| |
0.205991 |
| |
0.205962 |
|
|
|
|
|
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.
|