|
|
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 |
| |
0.646997 |
| |
0.646950 |
| |
0.646920 |
| |
0.646844 |
| |
0.646584 |
| |
0.646466 |
| |
0.646458 |
| |
0.646075 |
| |
0.646029 |
| |
0.645924 |
| |
0.645861 |
| |
0.645677 |
| |
0.645528 |
| |
0.645466 |
| |
0.645406 |
| |
0.645277 |
| |
0.645166 |
| |
0.645156 |
| |
0.645142 |
| |
0.645037 |
| |
0.644962 |
| |
0.644806 |
| |
0.644804 |
| |
0.644676 |
| |
0.644575 |
|
|
|
|
|
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.
|