|
|
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 |
| |
-0.339537 |
| |
-0.339551 |
| |
-0.339667 |
| |
-0.339768 |
| |
-0.339785 |
| |
-0.339794 |
| |
-0.339898 |
| |
-0.339982 |
| |
-0.339984 |
| |
-0.340011 |
| |
-0.340022 |
| |
-0.340068 |
| |
-0.340420 |
| |
-0.340426 |
| |
-0.340488 |
| |
-0.340588 |
| |
-0.340671 |
| |
-0.340698 |
| |
-0.340714 |
| |
-0.340724 |
| |
-0.340726 |
| |
-0.340752 |
| |
-0.340825 |
| |
-0.340878 |
| |
-0.340878 |
|
|
|
|
|
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.
|