Correlation Between Yang Ming and Rafael Microelectronics
Can any of the company-specific risk be diversified away by investing in both Yang Ming and Rafael Microelectronics 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 Rafael Microelectronics 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 Rafael Microelectronics, you can compare the effects of market volatilities on Yang Ming and Rafael Microelectronics 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 Rafael Microelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and Rafael Microelectronics.
Diversification Opportunities for Yang Ming and Rafael Microelectronics
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Yang and Rafael is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and Rafael Microelectronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rafael Microelectronics 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 Rafael Microelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rafael Microelectronics has no effect on the direction of Yang Ming i.e., Yang Ming and Rafael Microelectronics go up and down completely randomly.
Pair Corralation between Yang Ming and Rafael Microelectronics
Assuming the 90 days trading horizon Yang Ming Marine is expected to under-perform the Rafael Microelectronics. In addition to that, Yang Ming is 1.16 times more volatile than Rafael Microelectronics. It trades about -0.3 of its total potential returns per unit of risk. Rafael Microelectronics is currently generating about -0.28 per unit of volatility. If you would invest 12,650 in Rafael Microelectronics on October 9, 2024 and sell it today you would lose (800.00) from holding Rafael Microelectronics or give up 6.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. Rafael Microelectronics
Performance |
Timeline |
Yang Ming Marine |
Rafael Microelectronics |
Yang Ming and Rafael Microelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and Rafael Microelectronics
The main advantage of trading using opposite Yang Ming and Rafael Microelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, Rafael Microelectronics 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 Rafael Microelectronics will offset losses from the drop in Rafael Microelectronics' 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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