|
|
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 |
| |
0.118173 |
| |
0.118166 |
| |
0.118117 |
| |
0.118101 |
| |
0.118040 |
| |
0.117978 |
| |
0.117971 |
| |
0.117958 |
| |
0.117797 |
| |
0.117781 |
| |
0.117713 |
| |
0.117450 |
| |
0.117433 |
| |
0.117396 |
| |
0.117291 |
| |
0.117282 |
| |
0.117245 |
| |
0.117134 |
| |
0.117043 |
| |
0.116970 |
| |
0.116951 |
| |
0.116904 |
| |
0.116734 |
| |
0.116672 |
| |
0.116604 |
|
|
|
|
|
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.
|