Correlation Between Yang Ming and SynCore Biotechnology
Can any of the company-specific risk be diversified away by investing in both Yang Ming and SynCore Biotechnology 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 SynCore Biotechnology 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 SynCore Biotechnology Co, you can compare the effects of market volatilities on Yang Ming and SynCore Biotechnology 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 SynCore Biotechnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and SynCore Biotechnology.
Diversification Opportunities for Yang Ming and SynCore Biotechnology
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Yang and SynCore is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and SynCore Biotechnology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SynCore Biotechnology 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 SynCore Biotechnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SynCore Biotechnology has no effect on the direction of Yang Ming i.e., Yang Ming and SynCore Biotechnology go up and down completely randomly.
Pair Corralation between Yang Ming and SynCore Biotechnology
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 2.09 times more return on investment than SynCore Biotechnology. However, Yang Ming is 2.09 times more volatile than SynCore Biotechnology Co. It trades about 0.15 of its potential returns per unit of risk. SynCore Biotechnology Co is currently generating about -0.13 per unit of risk. If you would invest 6,240 in Yang Ming Marine on September 13, 2024 and sell it today you would earn a total of 1,680 from holding Yang Ming Marine or generate 26.92% 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. SynCore Biotechnology Co
Performance |
Timeline |
Yang Ming Marine |
SynCore Biotechnology |
Yang Ming and SynCore Biotechnology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and SynCore Biotechnology
The main advantage of trading using opposite Yang Ming and SynCore Biotechnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, SynCore Biotechnology 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 SynCore Biotechnology will offset losses from the drop in SynCore Biotechnology'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 |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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