Correlation Between Yang Ming and WIN Semiconductors
Can any of the company-specific risk be diversified away by investing in both Yang Ming and WIN Semiconductors 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 WIN Semiconductors 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 WIN Semiconductors, you can compare the effects of market volatilities on Yang Ming and WIN Semiconductors 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 WIN Semiconductors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and WIN Semiconductors.
Diversification Opportunities for Yang Ming and WIN Semiconductors
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Yang and WIN is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and WIN Semiconductors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WIN Semiconductors 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 WIN Semiconductors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WIN Semiconductors has no effect on the direction of Yang Ming i.e., Yang Ming and WIN Semiconductors go up and down completely randomly.
Pair Corralation between Yang Ming and WIN Semiconductors
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 1.47 times more return on investment than WIN Semiconductors. However, Yang Ming is 1.47 times more volatile than WIN Semiconductors. It trades about 0.17 of its potential returns per unit of risk. WIN Semiconductors is currently generating about -0.11 per unit of risk. If you would invest 6,200 in Yang Ming Marine on September 12, 2024 and sell it today you would earn a total of 1,850 from holding Yang Ming Marine or generate 29.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. WIN Semiconductors
Performance |
Timeline |
Yang Ming Marine |
WIN Semiconductors |
Yang Ming and WIN Semiconductors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and WIN Semiconductors
The main advantage of trading using opposite Yang Ming and WIN Semiconductors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, WIN Semiconductors 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 WIN Semiconductors will offset losses from the drop in WIN Semiconductors' 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 |
WIN Semiconductors vs. GlobalWafers Co | WIN Semiconductors vs. Novatek Microelectronics Corp | WIN Semiconductors vs. Ruentex Development Co | WIN Semiconductors vs. WiseChip Semiconductor |
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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