|
|
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 |
| |
0.773228 |
| |
0.773165 |
| |
0.773143 |
| |
0.772829 |
| |
0.772829 |
| |
0.772794 |
| |
0.772723 |
| |
0.772616 |
| |
0.772597 |
| |
0.772511 |
| |
0.772457 |
| |
0.772362 |
| |
0.772279 |
| |
0.771556 |
| |
0.771335 |
| |
0.771313 |
| |
0.771208 |
| |
0.770542 |
| |
0.770212 |
| |
0.770104 |
| |
0.770022 |
| |
0.769832 |
| |
0.769832 |
| |
0.769437 |
| |
0.769238 |
|
|
|
|
|
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.
|