|
|
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 |
| |
0.820671 |
| |
0.820595 |
| |
0.820510 |
| |
0.820490 |
| |
0.820438 |
| |
0.820413 |
| |
0.820328 |
| |
0.820230 |
| |
0.820135 |
| |
0.820043 |
| |
0.820028 |
| |
0.820005 |
| |
0.819965 |
| |
0.819862 |
| |
0.819789 |
| |
0.819703 |
| |
0.819474 |
| |
0.819431 |
| |
0.819416 |
| |
0.819348 |
| |
0.819348 |
| |
0.819308 |
| |
0.819308 |
| |
0.819228 |
| |
0.819166 |
|
|
|
|
|
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.
|