Correlation Between Yang Ming and Champion Microelectronic
Can any of the company-specific risk be diversified away by investing in both Yang Ming and Champion Microelectronic 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 Champion Microelectronic 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 Champion Microelectronic Corp, you can compare the effects of market volatilities on Yang Ming and Champion Microelectronic 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 Champion Microelectronic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and Champion Microelectronic.
Diversification Opportunities for Yang Ming and Champion Microelectronic
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Yang and Champion is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and Champion Microelectronic Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Champion Microelectronic 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 Champion Microelectronic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Champion Microelectronic has no effect on the direction of Yang Ming i.e., Yang Ming and Champion Microelectronic go up and down completely randomly.
Pair Corralation between Yang Ming and Champion Microelectronic
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 0.73 times more return on investment than Champion Microelectronic. However, Yang Ming Marine is 1.37 times less risky than Champion Microelectronic. It trades about 0.0 of its potential returns per unit of risk. Champion Microelectronic Corp is currently generating about -0.06 per unit of risk. If you would invest 7,430 in Yang Ming Marine on December 2, 2024 and sell it today you would lose (140.00) from holding Yang Ming Marine or give up 1.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. Champion Microelectronic Corp
Performance |
Timeline |
Yang Ming Marine |
Champion Microelectronic |
Yang Ming and Champion Microelectronic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and Champion Microelectronic
The main advantage of trading using opposite Yang Ming and Champion Microelectronic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, Champion Microelectronic 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 Champion Microelectronic will offset losses from the drop in Champion Microelectronic's long position.Yang Ming vs. Evergreen Marine Corp | Yang Ming vs. Wan Hai Lines | Yang Ming vs. China Airlines | Yang Ming vs. Eva Airways 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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