|
|
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 |
| |
0.852554 |
| |
0.852360 |
| |
0.852286 |
| |
0.852073 |
| |
0.852052 |
| |
0.852020 |
| |
0.851811 |
| |
0.851757 |
| |
0.851754 |
| |
0.851656 |
| |
0.851645 |
| |
0.851644 |
| |
0.851633 |
| |
0.851583 |
| |
0.851277 |
| |
0.851273 |
| |
0.851254 |
| |
0.851249 |
| |
0.851243 |
| |
0.851175 |
| |
0.851089 |
| |
0.850973 |
| |
0.850893 |
| |
0.850576 |
| |
0.850522 |
|
|
|
|
|
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.
|