|
|
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 |
| |
0.135490 |
| |
0.135107 |
| |
0.134985 |
| |
0.134973 |
| |
0.134972 |
| |
0.134967 |
| |
0.134910 |
| |
0.134842 |
| |
0.134819 |
| |
0.134542 |
| |
0.134537 |
| |
0.134535 |
| |
0.134415 |
| |
0.134353 |
| |
0.134249 |
| |
0.134217 |
| |
0.134126 |
| |
0.134107 |
| |
0.133640 |
| |
0.133638 |
| |
0.133638 |
| |
0.133507 |
| |
0.133459 |
| |
0.133367 |
| |
0.133295 |
|
|
|
|
|
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.
|