|
|
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 |
| |
0.427504 |
| |
0.427459 |
| |
0.427446 |
| |
0.427377 |
| |
0.427350 |
| |
0.427217 |
| |
0.427199 |
| |
0.427188 |
| |
0.427143 |
| |
0.427064 |
| |
0.427011 |
| |
0.427004 |
| |
0.426858 |
| |
0.426649 |
| |
0.426642 |
| |
0.426542 |
| |
0.426417 |
| |
0.426364 |
| |
0.426300 |
| |
0.426289 |
| |
0.426169 |
| |
0.426111 |
| |
0.426047 |
| |
0.426039 |
| |
0.425869 |
|
|
|
|
|
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.
|