|
|
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 |
| |
0.135428 |
| |
0.135273 |
| |
0.135216 |
| |
0.135208 |
| |
0.134982 |
| |
0.134896 |
| |
0.134896 |
| |
0.134826 |
| |
0.134799 |
| |
0.134444 |
| |
0.134381 |
| |
0.134267 |
| |
0.134228 |
| |
0.134210 |
| |
0.134031 |
| |
0.133832 |
| |
0.133807 |
| |
0.133783 |
| |
0.133640 |
| |
0.133638 |
| |
0.133560 |
| |
0.133522 |
| |
0.133422 |
| |
0.133382 |
| |
0.132971 |
|
|
|
|
|
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.
|