Correlation Between Yang Ming and Sigurd Microelectronics
Can any of the company-specific risk be diversified away by investing in both Yang Ming and Sigurd 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 Sigurd 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 Sigurd Microelectronics Corp, you can compare the effects of market volatilities on Yang Ming and Sigurd 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 Sigurd Microelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and Sigurd Microelectronics.
Diversification Opportunities for Yang Ming and Sigurd Microelectronics
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Yang and Sigurd is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and Sigurd Microelectronics Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sigurd 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 Sigurd Microelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sigurd Microelectronics has no effect on the direction of Yang Ming i.e., Yang Ming and Sigurd Microelectronics go up and down completely randomly.
Pair Corralation between Yang Ming and Sigurd Microelectronics
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 2.27 times more return on investment than Sigurd Microelectronics. However, Yang Ming is 2.27 times more volatile than Sigurd Microelectronics Corp. It trades about 0.19 of its potential returns per unit of risk. Sigurd Microelectronics Corp is currently generating about -0.26 per unit of risk. If you would invest 7,180 in Yang Ming Marine on September 12, 2024 and sell it today you would earn a total of 870.00 from holding Yang Ming Marine or generate 12.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Yang Ming Marine vs. Sigurd Microelectronics Corp
Performance |
Timeline |
Yang Ming Marine |
Sigurd Microelectronics |
Yang Ming and Sigurd Microelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and Sigurd Microelectronics
The main advantage of trading using opposite Yang Ming and Sigurd Microelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, Sigurd 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 Sigurd Microelectronics will offset losses from the drop in Sigurd 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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