|
|
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 |
| |
0.385598 |
| |
0.385467 |
| |
0.385368 |
| |
0.385341 |
| |
0.385334 |
| |
0.385324 |
| |
0.385317 |
| |
0.385265 |
| |
0.385158 |
| |
0.385119 |
| |
0.384962 |
| |
0.384929 |
| |
0.384859 |
| |
0.384770 |
| |
0.384581 |
| |
0.384546 |
| |
0.384431 |
| |
0.384378 |
| |
0.384362 |
| |
0.384183 |
| |
0.384134 |
| |
0.384008 |
| |
0.383998 |
| |
0.383969 |
| |
0.383965 |
|
|
|
|
|
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.
|