Correlation Between American Airlines and ZhongAn Online
Can any of the company-specific risk be diversified away by investing in both American Airlines and ZhongAn Online 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 ZhongAn Online 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 ZhongAn Online P, you can compare the effects of market volatilities on American Airlines and ZhongAn Online 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 ZhongAn Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Airlines and ZhongAn Online.
Diversification Opportunities for American Airlines and ZhongAn Online
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between American and ZhongAn is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding American Airlines Group and ZhongAn Online P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZhongAn Online P 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 ZhongAn Online. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZhongAn Online P has no effect on the direction of American Airlines i.e., American Airlines and ZhongAn Online go up and down completely randomly.
Pair Corralation between American Airlines and ZhongAn Online
Considering the 90-day investment horizon American Airlines Group is expected to generate 0.22 times more return on investment than ZhongAn Online. However, American Airlines Group is 4.58 times less risky than ZhongAn Online. It trades about 0.01 of its potential returns per unit of risk. ZhongAn Online P is currently generating about -0.22 per unit of risk. If you would invest 1,758 in American Airlines Group on October 12, 2024 and sell it today you would earn a total of 2.00 from holding American Airlines Group or generate 0.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
American Airlines Group vs. ZhongAn Online P
Performance |
Timeline |
American Airlines |
ZhongAn Online P |
American Airlines and ZhongAn Online Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Airlines and ZhongAn Online
The main advantage of trading using opposite American Airlines and ZhongAn Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Airlines position performs unexpectedly, ZhongAn Online 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 ZhongAn Online will offset losses from the drop in ZhongAn Online's long position.American Airlines vs. Southwest Airlines | American Airlines vs. JetBlue Airways Corp | American Airlines vs. United Airlines Holdings | American Airlines vs. Frontier Group Holdings |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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