Correlation Between American Airlines and Stanley Black
Can any of the company-specific risk be diversified away by investing in both American Airlines and Stanley Black at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining American Airlines and Stanley Black into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Airlines Group and Stanley Black Decker, you can compare the effects of market volatilities on American Airlines and Stanley Black and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in American Airlines with a short position of Stanley Black. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Airlines and Stanley Black.
Diversification Opportunities for American Airlines and Stanley Black
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between American and Stanley is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding American Airlines Group and Stanley Black Decker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stanley Black Decker and American Airlines is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on American Airlines Group are associated (or correlated) with Stanley Black. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stanley Black Decker has no effect on the direction of American Airlines i.e., American Airlines and Stanley Black go up and down completely randomly.
Pair Corralation between American Airlines and Stanley Black
Assuming the 90 days horizon American Airlines Group is expected to generate 1.93 times more return on investment than Stanley Black. However, American Airlines is 1.93 times more volatile than Stanley Black Decker. It trades about 0.14 of its potential returns per unit of risk. Stanley Black Decker is currently generating about -0.11 per unit of risk. If you would invest 1,257 in American Airlines Group on October 26, 2024 and sell it today you would earn a total of 376.00 from holding American Airlines Group or generate 29.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
American Airlines Group vs. Stanley Black Decker
Performance |
Timeline |
American Airlines |
Stanley Black Decker |
American Airlines and Stanley Black Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Airlines and Stanley Black
The main advantage of trading using opposite American Airlines and Stanley Black positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Airlines position performs unexpectedly, Stanley Black can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Stanley Black will offset losses from the drop in Stanley Black's long position.American Airlines vs. Information Services International Dentsu | American Airlines vs. MICRONIC MYDATA | American Airlines vs. Tencent Music Entertainment | American Airlines vs. Linedata Services SA |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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