|
|
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 |
| |
0.126148 |
| |
0.126107 |
| |
0.126095 |
| |
0.125690 |
| |
0.125690 |
| |
0.125501 |
| |
0.125410 |
| |
0.125328 |
| |
0.125292 |
| |
0.125181 |
| |
0.125112 |
| |
0.125080 |
| |
0.125040 |
| |
0.125016 |
| |
0.124800 |
| |
0.124488 |
| |
0.124472 |
| |
0.124242 |
| |
0.124241 |
| |
0.124078 |
| |
0.123975 |
| |
0.123905 |
| |
0.123823 |
| |
0.123707 |
| |
0.123667 |
|
|
|
|
|
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.
|