|
|
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 |
| |
0.803653 |
| |
0.803258 |
| |
0.802821 |
| |
0.801058 |
| |
0.800985 |
| |
0.799496 |
| |
0.799445 |
| |
0.799410 |
| |
0.798996 |
| |
0.798056 |
| |
0.797734 |
| |
0.797124 |
| |
0.796502 |
| |
0.795763 |
| |
0.795500 |
| |
0.795228 |
| |
0.793901 |
| |
0.792280 |
| |
0.791000 |
| |
0.790270 |
| |
0.789965 |
| |
0.789777 |
| |
0.789590 |
| |
0.789222 |
| |
0.789096 |
|
|
|
|
|
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.
|