|
|
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 |
| |
0.214953 |
| |
0.214932 |
| |
0.214895 |
| |
0.214783 |
| |
0.214783 |
| |
0.214714 |
| |
0.214687 |
| |
0.214600 |
| |
0.214599 |
| |
0.214486 |
| |
0.214479 |
| |
0.214433 |
| |
0.214371 |
| |
0.214318 |
| |
0.214183 |
| |
0.214136 |
| |
0.214111 |
| |
0.214099 |
| |
0.214097 |
| |
0.214080 |
| |
0.214078 |
| |
0.214046 |
| |
0.214046 |
| |
0.214041 |
| |
0.213950 |
|
|
|
|
|
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.
|