|
|
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 |
| |
0.476932 |
| |
0.476890 |
| |
0.476783 |
| |
0.476749 |
| |
0.476207 |
| |
0.476139 |
| |
0.475467 |
| |
0.475404 |
| |
0.475354 |
| |
0.475346 |
| |
0.475346 |
| |
0.475346 |
| |
0.475341 |
| |
0.475337 |
| |
0.474973 |
| |
0.474971 |
| |
0.474950 |
| |
0.474831 |
| |
0.474776 |
| |
0.474768 |
| |
0.474723 |
| |
0.474563 |
| |
0.474264 |
| |
0.473945 |
| |
0.473565 |
|
|
|
|
|
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.
|