|
|
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 |
| |
0.617384 |
| |
0.617295 |
| |
0.617235 |
| |
0.616464 |
| |
0.616430 |
| |
0.616371 |
| |
0.616236 |
| |
0.616225 |
| |
0.616158 |
| |
0.616150 |
| |
0.616086 |
| |
0.615964 |
| |
0.615740 |
| |
0.615722 |
| |
0.615609 |
| |
0.615471 |
| |
0.615345 |
| |
0.615317 |
| |
0.615171 |
| |
0.615024 |
| |
0.615023 |
| |
0.614955 |
| |
0.614923 |
| |
0.614495 |
| |
0.614446 |
|
|
|
|
|
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.
|