|
|
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 |
| |
0.155040 |
| |
0.155018 |
| |
0.154765 |
| |
0.154669 |
| |
0.154667 |
| |
0.154572 |
| |
0.154463 |
| |
0.154418 |
| |
0.154394 |
| |
0.154339 |
| |
0.154273 |
| |
0.154253 |
| |
0.154243 |
| |
0.154168 |
| |
0.154138 |
| |
0.153946 |
| |
0.153946 |
| |
0.153942 |
| |
0.153836 |
| |
0.153768 |
| |
0.153683 |
| |
0.153682 |
| |
0.153674 |
| |
0.153674 |
| |
0.153611 |
|
|
|
|
|
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.
|