|
|
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 |
| |
0.104153 |
| |
0.104138 |
| |
0.104049 |
| |
0.104020 |
| |
0.104011 |
| |
0.104009 |
| |
0.103950 |
| |
0.103909 |
| |
0.103909 |
| |
0.103900 |
| |
0.103821 |
| |
0.103776 |
| |
0.103762 |
| |
0.103728 |
| |
0.103725 |
| |
0.103647 |
| |
0.103624 |
| |
0.103621 |
| |
0.103580 |
| |
0.103580 |
| |
0.103579 |
| |
0.103523 |
| |
0.103507 |
| |
0.103504 |
| |
0.103467 |
|
|
|
|
|
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.
|