|
|
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 |
| |
0.153038 |
| |
0.153038 |
| |
0.152608 |
| |
0.152567 |
| |
0.151913 |
| |
0.151905 |
| |
0.151743 |
| |
0.151716 |
| |
0.151668 |
| |
0.151487 |
| |
0.151436 |
| |
0.151173 |
| |
0.151173 |
| |
0.151169 |
| |
0.151092 |
| |
0.151062 |
| |
0.150980 |
| |
0.150743 |
| |
0.150684 |
| |
0.150613 |
| |
0.150243 |
| |
0.150195 |
| |
0.150172 |
| |
0.149944 |
| |
0.149710 |
|
|
|
|
|
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.
|