Correlation Between Yang Ming and China Container
Can any of the company-specific risk be diversified away by investing in both Yang Ming and China Container 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 Yang Ming and China Container into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yang Ming Marine and China Container Terminal, you can compare the effects of market volatilities on Yang Ming and China Container 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 Yang Ming with a short position of China Container. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and China Container.
Diversification Opportunities for Yang Ming and China Container
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Yang and China is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and China Container Terminal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Container Terminal and Yang Ming 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 Yang Ming Marine are associated (or correlated) with China Container. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Container Terminal has no effect on the direction of Yang Ming i.e., Yang Ming and China Container go up and down completely randomly.
Pair Corralation between Yang Ming and China Container
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 1.05 times more return on investment than China Container. However, Yang Ming is 1.05 times more volatile than China Container Terminal. It trades about 0.16 of its potential returns per unit of risk. China Container Terminal is currently generating about -0.03 per unit of risk. If you would invest 7,130 in Yang Ming Marine on September 14, 2024 and sell it today you would earn a total of 730.00 from holding Yang Ming Marine or generate 10.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. China Container Terminal
Performance |
Timeline |
Yang Ming Marine |
China Container Terminal |
Yang Ming and China Container Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and China Container
The main advantage of trading using opposite Yang Ming and China Container positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, China Container 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 China Container will offset losses from the drop in China Container's long position.Yang Ming vs. Wan Hai Lines | Yang Ming vs. U Ming Marine Transport | Yang Ming vs. Taiwan Navigation Co | Yang Ming vs. China Airlines |
China Container vs. Yang Ming Marine | China Container vs. Wan Hai Lines | China Container vs. U Ming Marine Transport | China Container vs. Taiwan Navigation Co |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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