|
|
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 |
| |
0.831557 |
| |
0.831475 |
| |
0.831053 |
| |
0.830944 |
| |
0.829326 |
| |
0.829242 |
| |
0.829112 |
| |
0.827977 |
| |
0.827422 |
| |
0.825134 |
| |
0.824858 |
| |
0.824673 |
| |
0.824639 |
| |
0.824210 |
| |
0.823078 |
| |
0.822980 |
| |
0.822268 |
| |
0.821892 |
| |
0.820941 |
| |
0.820480 |
| |
0.819921 |
| |
0.817492 |
| |
0.817149 |
| |
0.816840 |
| |
0.816482 |
|
|
|
|
|
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.
|