Correlation Between Kung Sing and Yang Ming
Can any of the company-specific risk be diversified away by investing in both Kung Sing 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 Kung Sing and Yang Ming into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kung Sing Engineering and Yang Ming Marine, you can compare the effects of market volatilities on Kung Sing 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 Kung Sing with a short position of Yang Ming. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kung Sing and Yang Ming.
Diversification Opportunities for Kung Sing and Yang Ming
Very good diversification
The 3 months correlation between Kung and Yang is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Kung Sing Engineering 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 Kung Sing 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 Kung Sing Engineering 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 Kung Sing i.e., Kung Sing and Yang Ming go up and down completely randomly.
Pair Corralation between Kung Sing and Yang Ming
Assuming the 90 days trading horizon Kung Sing Engineering is expected to under-perform the Yang Ming. But the stock apears to be less risky and, when comparing its historical volatility, Kung Sing Engineering is 2.39 times less risky than Yang Ming. The stock trades about -0.03 of its potential returns per unit of risk. The Yang Ming Marine is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 7,210 in Yang Ming Marine on September 13, 2024 and sell it today you would earn a total of 710.00 from holding Yang Ming Marine or generate 9.85% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kung Sing Engineering vs. Yang Ming Marine
Performance |
| Timeline |
| Kung Sing Engineering |
| Yang Ming Marine |
Kung Sing and Yang Ming Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kung Sing and Yang Ming
The main advantage of trading using opposite Kung Sing and Yang Ming positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kung Sing 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.| Kung Sing vs. Yang Ming Marine | Kung Sing vs. Wan Hai Lines | Kung Sing vs. U Ming Marine Transport | Kung Sing vs. Taiwan Navigation Co |
| Yang Ming vs. Evergreen Marine Corp | Yang Ming vs. Wan Hai Lines | Yang Ming vs. China Airlines | Yang Ming vs. Eva Airways Corp |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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