|
|
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 |
| |
0.465749 |
| |
0.465721 |
| |
0.465660 |
| |
0.465654 |
| |
0.465646 |
| |
0.465631 |
| |
0.465604 |
| |
0.465602 |
| |
0.465590 |
| |
0.465573 |
| |
0.465573 |
| |
0.465522 |
| |
0.465504 |
| |
0.465485 |
| |
0.465368 |
| |
0.465347 |
| |
0.465282 |
| |
0.465282 |
| |
0.465259 |
| |
0.465258 |
| |
0.465258 |
| |
0.465202 |
| |
0.465168 |
| |
0.465133 |
| |
0.465062 |
|
|
|
|
|
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.
|