|
|
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 |
| |
0.144755 |
| |
0.144706 |
| |
0.144657 |
| |
0.144606 |
| |
0.144595 |
| |
0.144558 |
| |
0.144457 |
| |
0.144421 |
| |
0.144376 |
| |
0.144356 |
| |
0.144292 |
| |
0.144252 |
| |
0.144251 |
| |
0.144216 |
| |
0.144176 |
| |
0.144167 |
| |
0.144127 |
| |
0.144074 |
| |
0.144023 |
| |
0.143981 |
| |
0.143906 |
| |
0.143886 |
| |
0.143787 |
| |
0.143760 |
| |
0.143729 |
|
|
|
|
|
 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.
|
