|
|
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 |
| |
0.834346 |
| |
0.834186 |
| |
0.834186 |
| |
0.834107 |
| |
0.833983 |
| |
0.833954 |
| |
0.833668 |
| |
0.833273 |
| |
0.832308 |
| |
0.832007 |
| |
0.831497 |
| |
0.830960 |
| |
0.830931 |
| |
0.830881 |
| |
0.830784 |
| |
0.830667 |
| |
0.830658 |
| |
0.830404 |
| |
0.829852 |
| |
0.829709 |
| |
0.829647 |
| |
0.829616 |
| |
0.829420 |
| |
0.829327 |
| |
0.829007 |
|
|
|
|
|
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.
|