|
|
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 |
| |
0.781724 |
| |
0.781447 |
| |
0.781433 |
| |
0.781350 |
| |
0.781252 |
| |
0.781157 |
| |
0.781039 |
| |
0.780940 |
| |
0.780828 |
| |
0.780591 |
| |
0.780574 |
| |
0.780560 |
| |
0.780395 |
| |
0.780388 |
| |
0.779942 |
| |
0.779448 |
| |
0.779400 |
| |
0.779373 |
| |
0.779325 |
| |
0.779315 |
| |
0.779287 |
| |
0.779265 |
| |
0.779019 |
| |
0.778588 |
| |
0.778508 |
|
|
|
|
|
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.
|