|
|
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 |
| |
0.246763 |
| |
0.246613 |
| |
0.246390 |
| |
0.246383 |
| |
0.246375 |
| |
0.246315 |
| |
0.246257 |
| |
0.246169 |
| |
0.246162 |
| |
0.246129 |
| |
0.246077 |
| |
0.246073 |
| |
0.245940 |
| |
0.245915 |
| |
0.245911 |
| |
0.245879 |
| |
0.245836 |
| |
0.245828 |
| |
0.245825 |
| |
0.245725 |
| |
0.245543 |
| |
0.245488 |
| |
0.245488 |
| |
0.245417 |
| |
0.245306 |
|
|
|
|
|
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.
|