|
|
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 |
| |
0.320137 |
| |
0.320068 |
| |
0.320040 |
| |
0.320033 |
| |
0.320025 |
| |
0.319938 |
| |
0.319927 |
| |
0.319926 |
| |
0.319882 |
| |
0.319730 |
| |
0.319620 |
| |
0.319577 |
| |
0.319577 |
| |
0.319569 |
| |
0.319490 |
| |
0.319357 |
| |
0.319349 |
| |
0.319315 |
| |
0.319315 |
| |
0.319253 |
| |
0.319234 |
| |
0.319070 |
| |
0.319061 |
| |
0.319038 |
| |
0.318975 |
|
|
|
|
|
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.
|