|
|
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 |
| |
-0.580081 |
| |
-0.580164 |
| |
-0.580166 |
| |
-0.580345 |
| |
-0.580347 |
| |
-0.580498 |
| |
-0.580499 |
| |
-0.580584 |
| |
-0.580646 |
| |
-0.580709 |
| |
-0.580716 |
| |
-0.580765 |
| |
-0.580793 |
| |
-0.580793 |
| |
-0.580890 |
| |
-0.580896 |
| |
-0.580928 |
| |
-0.580940 |
| |
-0.580955 |
| |
-0.580958 |
| |
-0.580985 |
| |
-0.581000 |
| |
-0.581084 |
| |
-0.581100 |
| |
-0.581350 |
|
|
|
|
|
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.
|