|
|
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 |
| |
0.397405 |
| |
0.397405 |
| |
0.397374 |
| |
0.397368 |
| |
0.397348 |
| |
0.397282 |
| |
0.397263 |
| |
0.397256 |
| |
0.397221 |
| |
0.397164 |
| |
0.397164 |
| |
0.397128 |
| |
0.397062 |
| |
0.397053 |
| |
0.396958 |
| |
0.396924 |
| |
0.396884 |
| |
0.396838 |
| |
0.396813 |
| |
0.396664 |
| |
0.396568 |
| |
0.396497 |
| |
0.396465 |
| |
0.396405 |
| |
0.396384 |
|
|
|
|
|
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.
|