|
|
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 |
| |
0.145351 |
| |
0.145337 |
| |
0.145334 |
| |
0.145246 |
| |
0.145194 |
| |
0.145184 |
| |
0.145162 |
| |
0.145162 |
| |
0.145085 |
| |
0.145069 |
| |
0.145006 |
| |
0.144991 |
| |
0.144986 |
| |
0.144968 |
| |
0.144968 |
| |
0.144762 |
| |
0.144667 |
| |
0.144655 |
| |
0.144639 |
| |
0.144637 |
| |
0.144624 |
| |
0.144617 |
| |
0.144480 |
| |
0.144432 |
| |
0.144240 |
|
|
|
|
|
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.
|