Correlation Between China Airlines and Taiwan Speciality
Can any of the company-specific risk be diversified away by investing in both China Airlines and Taiwan Speciality 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 Taiwan Speciality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Airlines and Taiwan Speciality Chemicals, you can compare the effects of market volatilities on China Airlines and Taiwan Speciality 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 Taiwan Speciality. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Airlines and Taiwan Speciality.
Diversification Opportunities for China Airlines and Taiwan Speciality
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between China and Taiwan is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding China Airlines and Taiwan Speciality Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taiwan Speciality 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 Taiwan Speciality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taiwan Speciality has no effect on the direction of China Airlines i.e., China Airlines and Taiwan Speciality go up and down completely randomly.
Pair Corralation between China Airlines and Taiwan Speciality
Assuming the 90 days trading horizon China Airlines is expected to generate 0.74 times more return on investment than Taiwan Speciality. However, China Airlines is 1.35 times less risky than Taiwan Speciality. It trades about 0.25 of its potential returns per unit of risk. Taiwan Speciality Chemicals is currently generating about 0.03 per unit of risk. If you would invest 2,060 in China Airlines on October 4, 2024 and sell it today you would earn a total of 505.00 from holding China Airlines or generate 24.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Airlines vs. Taiwan Speciality Chemicals
Performance |
Timeline |
China Airlines |
Taiwan Speciality |
China Airlines and Taiwan Speciality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Airlines and Taiwan Speciality
The main advantage of trading using opposite China Airlines and Taiwan Speciality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Airlines position performs unexpectedly, Taiwan Speciality 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 Taiwan Speciality will offset losses from the drop in Taiwan Speciality's long position.China Airlines vs. Delpha Construction Co | China Airlines vs. Da Cin Construction Co | China Airlines vs. Kuo Yang Construction | China Airlines vs. WiseChip Semiconductor |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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