|
|
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 |
| |
0.063183 |
| |
0.062962 |
| |
0.062942 |
| |
0.062786 |
| |
0.062658 |
| |
0.062658 |
| |
0.062491 |
| |
0.062460 |
| |
0.062202 |
| |
0.062046 |
| |
0.061803 |
| |
0.061699 |
| |
0.061570 |
| |
0.061570 |
| |
0.061371 |
| |
0.061000 |
| |
0.060864 |
| |
0.060630 |
| |
0.060423 |
| |
0.060356 |
| |
0.060323 |
| |
0.060321 |
| |
0.060319 |
| |
0.060273 |
| |
0.060193 |
|
|
|
|
|
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.
|