|
|
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 |
| |
0.488586 |
| |
0.488564 |
| |
0.488541 |
| |
0.488485 |
| |
0.488406 |
| |
0.488371 |
| |
0.488246 |
| |
0.488213 |
| |
0.488141 |
| |
0.488109 |
| |
0.488053 |
| |
0.488031 |
| |
0.488029 |
| |
0.487900 |
| |
0.487867 |
| |
0.487773 |
| |
0.487769 |
| |
0.487651 |
| |
0.487650 |
| |
0.487573 |
| |
0.487530 |
| |
0.487528 |
| |
0.487492 |
| |
0.487492 |
| |
0.487461 |
|
|
|
|
|
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.
|