|
|
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 |
| |
0.744559 |
| |
0.741294 |
| |
0.735278 |
| |
0.730220 |
| |
0.729666 |
| |
0.728882 |
| |
0.727067 |
| |
0.726411 |
| |
0.723694 |
| |
0.723692 |
| |
0.722688 |
| |
0.720973 |
| |
0.720302 |
| |
0.714901 |
| |
0.713072 |
| |
0.712982 |
| |
0.710406 |
| |
0.709241 |
| |
0.708818 |
| |
0.708347 |
| |
0.707352 |
| |
0.707050 |
| |
0.706976 |
| |
0.706856 |
| |
0.705936 |
|
|
|
|
|
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.
|