|
|
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 |
| |
0.442793 |
| |
0.442723 |
| |
0.442681 |
| |
0.442679 |
| |
0.442632 |
| |
0.442581 |
| |
0.442580 |
| |
0.442438 |
| |
0.442364 |
| |
0.442336 |
| |
0.442310 |
| |
0.442306 |
| |
0.442297 |
| |
0.442246 |
| |
0.442246 |
| |
0.442213 |
| |
0.442171 |
| |
0.442091 |
| |
0.442081 |
| |
0.442076 |
| |
0.442053 |
| |
0.441944 |
| |
0.441858 |
| |
0.441804 |
| |
0.441757 |
|
|
|
|
|
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.
|