|
|
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 |
| |
0.138988 |
| |
0.138938 |
| |
0.138921 |
| |
0.138864 |
| |
0.138850 |
| |
0.138794 |
| |
0.138672 |
| |
0.138668 |
| |
0.138667 |
| |
0.138657 |
| |
0.138586 |
| |
0.138326 |
| |
0.138305 |
| |
0.138303 |
| |
0.138226 |
| |
0.138088 |
| |
0.138033 |
| |
0.138000 |
| |
0.137997 |
| |
0.137948 |
| |
0.137941 |
| |
0.137894 |
| |
0.137866 |
| |
0.137774 |
| |
0.137738 |
|
|
|
|
|
 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.
|
