Correlation Between Yang Ming and Oneness Biotech
Can any of the company-specific risk be diversified away by investing in both Yang Ming and Oneness Biotech 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 Oneness Biotech 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 Oneness Biotech Co, you can compare the effects of market volatilities on Yang Ming and Oneness Biotech 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 Oneness Biotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and Oneness Biotech.
Diversification Opportunities for Yang Ming and Oneness Biotech
-0.86 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Yang and Oneness is -0.86. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and Oneness Biotech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oneness Biotech 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 Oneness Biotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oneness Biotech has no effect on the direction of Yang Ming i.e., Yang Ming and Oneness Biotech go up and down completely randomly.
Pair Corralation between Yang Ming and Oneness Biotech
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 1.14 times more return on investment than Oneness Biotech. However, Yang Ming is 1.14 times more volatile than Oneness Biotech Co. It trades about 0.15 of its potential returns per unit of risk. Oneness Biotech Co is currently generating about -0.33 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 | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. Oneness Biotech Co
Performance |
Timeline |
Yang Ming Marine |
Oneness Biotech |
Yang Ming and Oneness Biotech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and Oneness Biotech
The main advantage of trading using opposite Yang Ming and Oneness Biotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, Oneness Biotech 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 Oneness Biotech will offset losses from the drop in Oneness Biotech'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 |
Oneness Biotech vs. Microbio Co | Oneness Biotech vs. Medigen Vaccine Biologics | Oneness Biotech vs. OBI Pharma | Oneness Biotech vs. Medigen Biotechnology |
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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