|
|
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 |
| |
0.235432 |
| |
0.235420 |
| |
0.235415 |
| |
0.235405 |
| |
0.235371 |
| |
0.235338 |
| |
0.235251 |
| |
0.235200 |
| |
0.235141 |
| |
0.235106 |
| |
0.235104 |
| |
0.235097 |
| |
0.235082 |
| |
0.235052 |
| |
0.234938 |
| |
0.234924 |
| |
0.234914 |
| |
0.234911 |
| |
0.234882 |
| |
0.234843 |
| |
0.234775 |
| |
0.234641 |
| |
0.234630 |
| |
0.234594 |
| |
0.234481 |
|
|
|
|
|
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.
|