|
|
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 |
| |
0.284393 |
| |
0.284120 |
| |
0.284095 |
| |
0.284077 |
| |
0.284064 |
| |
0.284021 |
| |
0.283879 |
| |
0.283787 |
| |
0.283784 |
| |
0.283782 |
| |
0.283744 |
| |
0.283572 |
| |
0.283560 |
| |
0.283509 |
| |
0.283484 |
| |
0.283478 |
| |
0.283478 |
| |
0.283405 |
| |
0.283400 |
| |
0.283386 |
| |
0.283335 |
| |
0.283254 |
| |
0.283241 |
| |
0.283239 |
| |
0.283221 |
|
|
|
|
|
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.
|