|
|
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 |
| |
0.435545 |
| |
0.435500 |
| |
0.435479 |
| |
0.435468 |
| |
0.435462 |
| |
0.435414 |
| |
0.435402 |
| |
0.435392 |
| |
0.435378 |
| |
0.435336 |
| |
0.435287 |
| |
0.435274 |
| |
0.435210 |
| |
0.435191 |
| |
0.435186 |
| |
0.435150 |
| |
0.435141 |
| |
0.435116 |
| |
0.435070 |
| |
0.435069 |
| |
0.435058 |
| |
0.434905 |
| |
0.434903 |
| |
0.434891 |
| |
0.434876 |
|
|
|
|
|
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.
|