|
|
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 |
| |
0.462583 |
| |
0.462363 |
| |
0.462359 |
| |
0.462285 |
| |
0.462175 |
| |
0.462090 |
| |
0.461898 |
| |
0.461830 |
| |
0.461768 |
| |
0.461553 |
| |
0.461512 |
| |
0.461395 |
| |
0.461359 |
| |
0.461348 |
| |
0.461348 |
| |
0.461339 |
| |
0.461276 |
| |
0.461271 |
| |
0.461271 |
| |
0.461260 |
| |
0.461209 |
| |
0.461171 |
| |
0.461094 |
| |
0.461049 |
| |
0.461037 |
|
|
|
|
|
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.
|