|
|
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 |
| |
0.766629 |
| |
0.766584 |
| |
0.766563 |
| |
0.766412 |
| |
0.766369 |
| |
0.766342 |
| |
0.766299 |
| |
0.766278 |
| |
0.766260 |
| |
0.766255 |
| |
0.766019 |
| |
0.766002 |
| |
0.765978 |
| |
0.765927 |
| |
0.765747 |
| |
0.765737 |
| |
0.765643 |
| |
0.765549 |
| |
0.765549 |
| |
0.765512 |
| |
0.765504 |
| |
0.765504 |
| |
0.765457 |
| |
0.765433 |
| |
0.765324 |
|
|
|
|
|
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.
|