|
|
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 |
|
0.941465 |
|
0.941424 |
|
0.941390 |
|
0.941386 |
|
0.941354 |
|
0.941343 |
|
0.941338 |
|
0.941294 |
|
0.941266 |
|
0.941243 |
|
0.941230 |
|
0.941218 |
|
0.941199 |
|
0.941198 |
|
0.941171 |
|
0.941165 |
|
0.941137 |
|
0.941120 |
|
0.941106 |
|
0.941094 |
|
0.941043 |
|
0.940821 |
|
0.940813 |
|
0.940786 |
|
0.940748 |
|
|
|
|
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.
|