|
|
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 |
| |
0.762011 |
| |
0.761777 |
| |
0.761750 |
| |
0.761683 |
| |
0.761485 |
| |
0.760987 |
| |
0.760915 |
| |
0.760888 |
| |
0.760675 |
| |
0.760088 |
| |
0.759951 |
| |
0.759890 |
| |
0.759729 |
| |
0.759589 |
| |
0.759565 |
| |
0.759562 |
| |
0.759435 |
| |
0.759041 |
| |
0.759036 |
| |
0.758979 |
| |
0.758793 |
| |
0.758730 |
| |
0.758362 |
| |
0.758306 |
| |
0.758286 |
|
|
|
|
|
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.
|