|
|
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 |
| |
0.518000 |
| |
0.517927 |
| |
0.517843 |
| |
0.517788 |
| |
0.517676 |
| |
0.517646 |
| |
0.517592 |
| |
0.517509 |
| |
0.517453 |
| |
0.516924 |
| |
0.516886 |
| |
0.516863 |
| |
0.516732 |
| |
0.516637 |
| |
0.516523 |
| |
0.516473 |
| |
0.516461 |
| |
0.516347 |
| |
0.516134 |
| |
0.516098 |
| |
0.516098 |
| |
0.516070 |
| |
0.515901 |
| |
0.515855 |
| |
0.515828 |
|
|
|
|
|
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.
|