Correlation Between China Airlines and Fubon Financial
Can any of the company-specific risk be diversified away by investing in both China Airlines and Fubon Financial 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 Fubon Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Airlines and Fubon Financial Holding, you can compare the effects of market volatilities on China Airlines and Fubon Financial 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 Fubon Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Airlines and Fubon Financial.
Diversification Opportunities for China Airlines and Fubon Financial
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between China and Fubon is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding China Airlines and Fubon Financial Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fubon Financial Holding 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 Fubon Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fubon Financial Holding has no effect on the direction of China Airlines i.e., China Airlines and Fubon Financial go up and down completely randomly.
Pair Corralation between China Airlines and Fubon Financial
Assuming the 90 days trading horizon China Airlines is expected to under-perform the Fubon Financial. In addition to that, China Airlines is 1.87 times more volatile than Fubon Financial Holding. It trades about -0.08 of its total potential returns per unit of risk. Fubon Financial Holding is currently generating about 0.03 per unit of volatility. If you would invest 9,150 in Fubon Financial Holding on October 9, 2024 and sell it today you would earn a total of 40.00 from holding Fubon Financial Holding or generate 0.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Airlines vs. Fubon Financial Holding
Performance |
Timeline |
China Airlines |
Fubon Financial Holding |
China Airlines and Fubon Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Airlines and Fubon Financial
The main advantage of trading using opposite China Airlines and Fubon Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Airlines position performs unexpectedly, Fubon Financial 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 Fubon Financial will offset losses from the drop in Fubon Financial'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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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