|
|
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 |
| |
0.890310 |
| |
0.890243 |
| |
0.890027 |
| |
0.889340 |
| |
0.889234 |
| |
0.889060 |
| |
0.887858 |
| |
0.887858 |
| |
0.887693 |
| |
0.887352 |
| |
0.886893 |
| |
0.886671 |
| |
0.886658 |
| |
0.886054 |
| |
0.886006 |
| |
0.885961 |
| |
0.885902 |
| |
0.885795 |
| |
0.885206 |
| |
0.885161 |
| |
0.884923 |
| |
0.884844 |
| |
0.884483 |
| |
0.884363 |
| |
0.883794 |
|
|
|
|
|
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.
|