|
|
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 |
| |
0.400090 |
| |
0.400075 |
| |
0.400053 |
| |
0.400026 |
| |
0.399981 |
| |
0.399965 |
| |
0.399939 |
| |
0.399916 |
| |
0.399908 |
| |
0.399894 |
| |
0.399877 |
| |
0.399876 |
| |
0.399867 |
| |
0.399731 |
| |
0.399709 |
| |
0.399707 |
| |
0.399691 |
| |
0.399657 |
| |
0.399620 |
| |
0.399595 |
| |
0.399568 |
| |
0.399564 |
| |
0.399352 |
| |
0.399342 |
| |
0.399280 |
|
|
|
|
|
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.
|