|
|
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 |
| |
0.671783 |
| |
0.671525 |
| |
0.671399 |
| |
0.671308 |
| |
0.671205 |
| |
0.671062 |
| |
0.670780 |
| |
0.670770 |
| |
0.670713 |
| |
0.670500 |
| |
0.670379 |
| |
0.670342 |
| |
0.670208 |
| |
0.669828 |
| |
0.669819 |
| |
0.669792 |
| |
0.669735 |
| |
0.669428 |
| |
0.669392 |
| |
0.669322 |
| |
0.669217 |
| |
0.669131 |
| |
0.668816 |
| |
0.668605 |
| |
0.668395 |
|
|
|
|
|
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.
|