Correlation Between Yang Ming and BES Engineering
Can any of the company-specific risk be diversified away by investing in both Yang Ming and BES Engineering 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 BES Engineering 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 BES Engineering Co, you can compare the effects of market volatilities on Yang Ming and BES Engineering 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 BES Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and BES Engineering.
Diversification Opportunities for Yang Ming and BES Engineering
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Yang and BES is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and BES Engineering Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BES Engineering 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 BES Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BES Engineering has no effect on the direction of Yang Ming i.e., Yang Ming and BES Engineering go up and down completely randomly.
Pair Corralation between Yang Ming and BES Engineering
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 1.2 times more return on investment than BES Engineering. However, Yang Ming is 1.2 times more volatile than BES Engineering Co. It trades about 0.06 of its potential returns per unit of risk. BES Engineering Co is currently generating about 0.04 per unit of risk. If you would invest 4,596 in Yang Ming Marine on September 22, 2024 and sell it today you would earn a total of 3,374 from holding Yang Ming Marine or generate 73.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. BES Engineering Co
Performance |
Timeline |
Yang Ming Marine |
BES Engineering |
Yang Ming and BES Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and BES Engineering
The main advantage of trading using opposite Yang Ming and BES Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, BES Engineering 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 BES Engineering will offset losses from the drop in BES Engineering'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 |
BES Engineering vs. Yang Ming Marine | BES Engineering vs. Evergreen Marine Corp | BES Engineering vs. Eva Airways Corp | BES Engineering vs. U Ming Marine Transport |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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