Correlation Between China Airlines and Kung Sing
Can any of the company-specific risk be diversified away by investing in both China Airlines and Kung Sing 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 China Airlines and Kung Sing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Airlines and Kung Sing Engineering, you can compare the effects of market volatilities on China Airlines and Kung Sing 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 China Airlines with a short position of Kung Sing. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Airlines and Kung Sing.
Diversification Opportunities for China Airlines and Kung Sing
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between China and Kung is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding China Airlines and Kung Sing Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kung Sing Engineering and China 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 China Airlines are associated (or correlated) with Kung Sing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kung Sing Engineering has no effect on the direction of China Airlines i.e., China Airlines and Kung Sing go up and down completely randomly.
Pair Corralation between China Airlines and Kung Sing
Assuming the 90 days trading horizon China Airlines is expected to generate 0.89 times more return on investment than Kung Sing. However, China Airlines is 1.12 times less risky than Kung Sing. It trades about 0.24 of its potential returns per unit of risk. Kung Sing Engineering is currently generating about -0.08 per unit of risk. If you would invest 2,065 in China Airlines on September 16, 2024 and sell it today you would earn a total of 535.00 from holding China Airlines or generate 25.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Airlines vs. Kung Sing Engineering
Performance |
Timeline |
China Airlines |
Kung Sing Engineering |
China Airlines and Kung Sing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Airlines and Kung Sing
The main advantage of trading using opposite China Airlines and Kung Sing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Airlines position performs unexpectedly, Kung Sing 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 Kung Sing will offset losses from the drop in Kung Sing's long position.The idea behind China Airlines and Kung Sing Engineering 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.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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