|
|
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 |
| |
0.579993 |
| |
0.579921 |
| |
0.579857 |
| |
0.579620 |
| |
0.579595 |
| |
0.579595 |
| |
0.579216 |
| |
0.578920 |
| |
0.578900 |
| |
0.578772 |
| |
0.578575 |
| |
0.577446 |
| |
0.577329 |
| |
0.577258 |
| |
0.577201 |
| |
0.577139 |
| |
0.577070 |
| |
0.577040 |
| |
0.576869 |
| |
0.576490 |
| |
0.576357 |
| |
0.576307 |
| |
0.575981 |
| |
0.575963 |
| |
0.575939 |
|
|
|
|
|
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.
|