|
|
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 |
| |
0.502135 |
| |
0.502070 |
| |
0.501779 |
| |
0.501508 |
| |
0.501449 |
| |
0.501410 |
| |
0.501082 |
| |
0.501053 |
| |
0.500913 |
| |
0.500615 |
| |
0.500261 |
| |
0.499915 |
| |
0.499901 |
| |
0.499781 |
| |
0.499503 |
| |
0.499435 |
| |
0.499216 |
| |
0.499216 |
| |
0.499148 |
| |
0.499102 |
| |
0.498758 |
| |
0.497912 |
| |
0.497834 |
| |
0.497382 |
| |
0.497377 |
|
|
|
|
|
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.
|