|
|
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 |
| |
0.060162 |
| |
0.060101 |
| |
0.060019 |
| |
0.059972 |
| |
0.059689 |
| |
0.059631 |
| |
0.059595 |
| |
0.059237 |
| |
0.059197 |
| |
0.059142 |
| |
0.059108 |
| |
0.059108 |
| |
0.059103 |
| |
0.059103 |
| |
0.059065 |
| |
0.059004 |
| |
0.058820 |
| |
0.058731 |
| |
0.058723 |
| |
0.058595 |
| |
0.058418 |
| |
0.058298 |
| |
0.058264 |
| |
0.058084 |
| |
0.058080 |
|
|
|
|
|
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.
|