|
|
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 |
| |
0.816042 |
| |
0.815941 |
| |
0.815289 |
| |
0.815084 |
| |
0.814580 |
| |
0.814009 |
| |
0.813272 |
| |
0.812760 |
| |
0.812673 |
| |
0.812395 |
| |
0.811911 |
| |
0.810266 |
| |
0.809498 |
| |
0.809215 |
| |
0.808284 |
| |
0.808249 |
| |
0.807277 |
| |
0.806707 |
| |
0.806277 |
| |
0.806225 |
| |
0.805539 |
| |
0.805441 |
| |
0.805391 |
| |
0.805137 |
| |
0.803927 |
|
|
|
|
|
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.
|