|
|
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 |
| |
0.203279 |
| |
0.203263 |
| |
0.203263 |
| |
0.203246 |
| |
0.203084 |
| |
0.203072 |
| |
0.203047 |
| |
0.203028 |
| |
0.202986 |
| |
0.202835 |
| |
0.202835 |
| |
0.202548 |
| |
0.202516 |
| |
0.202467 |
| |
0.202406 |
| |
0.202255 |
| |
0.202236 |
| |
0.202126 |
| |
0.201951 |
| |
0.201910 |
| |
0.201857 |
| |
0.201753 |
| |
0.201718 |
| |
0.201701 |
| |
0.201679 |
|
|
|
|
|
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.
|