|
|
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 |
| |
0.441269 |
| |
0.441261 |
| |
0.441167 |
| |
0.441165 |
| |
0.441022 |
| |
0.441022 |
| |
0.440929 |
| |
0.440903 |
| |
0.440903 |
| |
0.440890 |
| |
0.440849 |
| |
0.440834 |
| |
0.440828 |
| |
0.440820 |
| |
0.440764 |
| |
0.440726 |
| |
0.440623 |
| |
0.440587 |
| |
0.440541 |
| |
0.440513 |
| |
0.440499 |
| |
0.440499 |
| |
0.440462 |
| |
0.440425 |
| |
0.440387 |
|
|
|
|
|
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.
|