|
|
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 |
| |
0.696042 |
| |
0.695769 |
| |
0.695643 |
| |
0.695517 |
| |
0.695442 |
| |
0.695096 |
| |
0.695062 |
| |
0.694637 |
| |
0.694632 |
| |
0.694340 |
| |
0.694338 |
| |
0.694323 |
| |
0.694307 |
| |
0.694199 |
| |
0.693931 |
| |
0.693891 |
| |
0.693844 |
| |
0.693693 |
| |
0.693663 |
| |
0.693562 |
| |
0.693492 |
| |
0.693229 |
| |
0.693161 |
| |
0.692997 |
| |
0.692812 |
|
|
|
|
|
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.
|