|
|
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 |
| |
0.166914 |
| |
0.166875 |
| |
0.166799 |
| |
0.165162 |
| |
0.164767 |
| |
0.164728 |
| |
0.164555 |
| |
0.164317 |
| |
0.164197 |
| |
0.164160 |
| |
0.164126 |
| |
0.163808 |
| |
0.163582 |
| |
0.163109 |
| |
0.163084 |
| |
0.162842 |
| |
0.162663 |
| |
0.162216 |
| |
0.162023 |
| |
0.161494 |
| |
0.161273 |
| |
0.161263 |
| |
0.161188 |
| |
0.160748 |
| |
0.160696 |
|
|
|
|
|
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.
|