|
|
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 |
| |
0.237505 |
| |
0.237475 |
| |
0.237265 |
| |
0.237218 |
| |
0.237089 |
| |
0.237057 |
| |
0.236972 |
| |
0.236932 |
| |
0.236862 |
| |
0.236780 |
| |
0.236679 |
| |
0.236638 |
| |
0.236559 |
| |
0.236488 |
| |
0.236340 |
| |
0.236325 |
| |
0.236288 |
| |
0.236268 |
| |
0.236223 |
| |
0.236148 |
| |
0.236099 |
| |
0.236077 |
| |
0.236075 |
| |
0.235994 |
| |
0.235977 |
|
|
|
|
|
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.
|