|
|
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 |
| |
0.550031 |
| |
0.549622 |
| |
0.549622 |
| |
0.549472 |
| |
0.549075 |
| |
0.548773 |
| |
0.548247 |
| |
0.547977 |
| |
0.547977 |
| |
0.547960 |
| |
0.547633 |
| |
0.547515 |
| |
0.547427 |
| |
0.547373 |
| |
0.547354 |
| |
0.547320 |
| |
0.547247 |
| |
0.547183 |
| |
0.547098 |
| |
0.547052 |
| |
0.546989 |
| |
0.546935 |
| |
0.546822 |
| |
0.546544 |
| |
0.546444 |
|
|
|
|
|
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.
|