|
|
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 |
| |
0.026272 |
| |
0.026161 |
| |
0.026121 |
| |
0.026074 |
| |
0.026025 |
| |
0.025927 |
| |
0.025838 |
| |
0.025814 |
| |
0.025786 |
| |
0.025705 |
| |
0.025599 |
| |
0.025591 |
| |
0.025580 |
| |
0.025560 |
| |
0.025476 |
| |
0.025400 |
| |
0.025369 |
| |
0.025369 |
| |
0.025281 |
| |
0.025239 |
| |
0.025233 |
| |
0.025205 |
| |
0.025197 |
| |
0.025194 |
| |
0.025151 |
|
|
|
|
|
 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.
|
