Correlation Between Dazhong Transportation and Hainan Airlines
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By analyzing existing cross correlation between Dazhong Transportation Group and Hainan Airlines Co, you can compare the effects of market volatilities on Dazhong Transportation and Hainan Airlines 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 Dazhong Transportation with a short position of Hainan Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dazhong Transportation and Hainan Airlines.
Diversification Opportunities for Dazhong Transportation and Hainan Airlines
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dazhong and Hainan is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Dazhong Transportation Group and Hainan Airlines Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hainan Airlines and Dazhong Transportation 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 Dazhong Transportation Group are associated (or correlated) with Hainan Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hainan Airlines has no effect on the direction of Dazhong Transportation i.e., Dazhong Transportation and Hainan Airlines go up and down completely randomly.
Pair Corralation between Dazhong Transportation and Hainan Airlines
Assuming the 90 days trading horizon Dazhong Transportation is expected to generate 40.73 times less return on investment than Hainan Airlines. But when comparing it to its historical volatility, Dazhong Transportation Group is 2.06 times less risky than Hainan Airlines. It trades about 0.01 of its potential returns per unit of risk. Hainan Airlines Co is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 117.00 in Hainan Airlines Co on September 23, 2024 and sell it today you would earn a total of 67.00 from holding Hainan Airlines Co or generate 57.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dazhong Transportation Group vs. Hainan Airlines Co
Performance |
Timeline |
Dazhong Transportation |
Hainan Airlines |
Dazhong Transportation and Hainan Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dazhong Transportation and Hainan Airlines
The main advantage of trading using opposite Dazhong Transportation and Hainan Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dazhong Transportation position performs unexpectedly, Hainan Airlines 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 Hainan Airlines will offset losses from the drop in Hainan Airlines' long position.The idea behind Dazhong Transportation Group and Hainan Airlines Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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