Correlation Between Air Transport and ZhongAn Online
Can any of the company-specific risk be diversified away by investing in both Air Transport 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 Air Transport and ZhongAn Online into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Transport Services and ZhongAn Online P, you can compare the effects of market volatilities on Air Transport 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 Air Transport with a short position of ZhongAn Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Transport and ZhongAn Online.
Diversification Opportunities for Air Transport and ZhongAn Online
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Air and ZhongAn is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Air Transport Services 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 Air Transport 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 Air Transport Services 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 Air Transport i.e., Air Transport and ZhongAn Online go up and down completely randomly.
Pair Corralation between Air Transport and ZhongAn Online
Assuming the 90 days horizon Air Transport Services is expected to under-perform the ZhongAn Online. But the stock apears to be less risky and, when comparing its historical volatility, Air Transport Services is 6.87 times less risky than ZhongAn Online. The stock trades about -0.08 of its potential returns per unit of risk. The ZhongAn Online P is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 142.00 in ZhongAn Online P on December 20, 2024 and sell it today you would earn a total of 13.00 from holding ZhongAn Online P or generate 9.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Air Transport Services vs. ZhongAn Online P
Performance |
Timeline |
Air Transport Services |
ZhongAn Online P |
Air Transport and ZhongAn Online Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Transport and ZhongAn Online
The main advantage of trading using opposite Air Transport and ZhongAn Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Transport 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.Air Transport vs. TRI CHEMICAL LABORATINC | Air Transport vs. Chiba Bank | Air Transport vs. X FAB Silicon Foundries | Air Transport vs. The Hanover Insurance |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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