Correlation Between China Airlines and Sunonwealth Electric
Can any of the company-specific risk be diversified away by investing in both China Airlines and Sunonwealth Electric 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 Sunonwealth Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Airlines and Sunonwealth Electric Machine, you can compare the effects of market volatilities on China Airlines and Sunonwealth Electric 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 Sunonwealth Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Airlines and Sunonwealth Electric.
Diversification Opportunities for China Airlines and Sunonwealth Electric
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Sunonwealth is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding China Airlines and Sunonwealth Electric Machine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sunonwealth Electric 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 Sunonwealth Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sunonwealth Electric has no effect on the direction of China Airlines i.e., China Airlines and Sunonwealth Electric go up and down completely randomly.
Pair Corralation between China Airlines and Sunonwealth Electric
Assuming the 90 days trading horizon China Airlines is expected to generate 0.58 times more return on investment than Sunonwealth Electric. However, China Airlines is 1.74 times less risky than Sunonwealth Electric. It trades about 0.24 of its potential returns per unit of risk. Sunonwealth Electric Machine is currently generating about 0.06 per unit of risk. If you would invest 2,065 in China Airlines on September 15, 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 Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Airlines vs. Sunonwealth Electric Machine
Performance |
Timeline |
China Airlines |
Sunonwealth Electric |
China Airlines and Sunonwealth Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Airlines and Sunonwealth Electric
The main advantage of trading using opposite China Airlines and Sunonwealth Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Airlines position performs unexpectedly, Sunonwealth Electric 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 Sunonwealth Electric will offset losses from the drop in Sunonwealth Electric's long position.China Airlines vs. Eva Airways Corp | China Airlines vs. Evergreen Marine Corp | China Airlines vs. Yang Ming Marine | China Airlines vs. China Steel Corp |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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