Correlation Between General Plastic and Yang Ming
Can any of the company-specific risk be diversified away by investing in both General Plastic and Yang Ming 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 General Plastic and Yang Ming into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Plastic Industrial and Yang Ming Marine, you can compare the effects of market volatilities on General Plastic and Yang Ming 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 General Plastic with a short position of Yang Ming. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Plastic and Yang Ming.
Diversification Opportunities for General Plastic and Yang Ming
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between General and Yang is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding General Plastic Industrial and Yang Ming Marine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yang Ming Marine and General Plastic 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 General Plastic Industrial are associated (or correlated) with Yang Ming. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yang Ming Marine has no effect on the direction of General Plastic i.e., General Plastic and Yang Ming go up and down completely randomly.
Pair Corralation between General Plastic and Yang Ming
Assuming the 90 days trading horizon General Plastic Industrial is expected to under-perform the Yang Ming. But the stock apears to be less risky and, when comparing its historical volatility, General Plastic Industrial is 2.29 times less risky than Yang Ming. The stock trades about 0.0 of its potential returns per unit of risk. The Yang Ming Marine is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 4,840 in Yang Ming Marine on September 12, 2024 and sell it today you would earn a total of 3,210 from holding Yang Ming Marine or generate 66.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Plastic Industrial vs. Yang Ming Marine
Performance |
Timeline |
General Plastic Indu |
Yang Ming Marine |
General Plastic and Yang Ming Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Plastic and Yang Ming
The main advantage of trading using opposite General Plastic and Yang Ming positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Plastic position performs unexpectedly, Yang Ming 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 Yang Ming will offset losses from the drop in Yang Ming's long position.General Plastic vs. Yang Ming Marine | General Plastic vs. Wan Hai Lines | General Plastic vs. U Ming Marine Transport | General Plastic vs. Taiwan Navigation Co |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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