|
|
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 |
| |
0.558586 |
| |
0.558495 |
| |
0.558408 |
| |
0.558407 |
| |
0.558238 |
| |
0.558238 |
| |
0.558130 |
| |
0.558070 |
| |
0.557931 |
| |
0.557860 |
| |
0.557838 |
| |
0.557689 |
| |
0.557609 |
| |
0.557578 |
| |
0.557521 |
| |
0.557151 |
| |
0.556951 |
| |
0.556850 |
| |
0.556753 |
| |
0.556708 |
| |
0.556523 |
| |
0.556328 |
| |
0.556323 |
| |
0.556226 |
| |
0.556171 |
|
|
|
|
|
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.
|