|
|
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 |
| |
0.193188 |
| |
0.193113 |
| |
0.192747 |
| |
0.192692 |
| |
0.192438 |
| |
0.192342 |
| |
0.192321 |
| |
0.192226 |
| |
0.192105 |
| |
0.192075 |
| |
0.192000 |
| |
0.191652 |
| |
0.191371 |
| |
0.191356 |
| |
0.191310 |
| |
0.191270 |
| |
0.191038 |
| |
0.190930 |
| |
0.190902 |
| |
0.190892 |
| |
0.190790 |
| |
0.190725 |
| |
0.190709 |
| |
0.190626 |
| |
0.190206 |
|
|
|
|
|
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.
|