Correlation Between Yang Ming and Casing Macron
Can any of the company-specific risk be diversified away by investing in both Yang Ming and Casing Macron 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 Casing Macron 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 Casing Macron Technology, you can compare the effects of market volatilities on Yang Ming and Casing Macron 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 Casing Macron. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and Casing Macron.
Diversification Opportunities for Yang Ming and Casing Macron
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Yang and Casing is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and Casing Macron Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Casing Macron Technology 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 Casing Macron. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Casing Macron Technology has no effect on the direction of Yang Ming i.e., Yang Ming and Casing Macron go up and down completely randomly.
Pair Corralation between Yang Ming and Casing Macron
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 1.08 times more return on investment than Casing Macron. However, Yang Ming is 1.08 times more volatile than Casing Macron Technology. It trades about 0.17 of its potential returns per unit of risk. Casing Macron Technology is currently generating about -0.05 per unit of risk. If you would invest 6,170 in Yang Ming Marine on September 16, 2024 and sell it today you would earn a total of 1,870 from holding Yang Ming Marine or generate 30.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. Casing Macron Technology
Performance |
Timeline |
Yang Ming Marine |
Casing Macron Technology |
Yang Ming and Casing Macron Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and Casing Macron
The main advantage of trading using opposite Yang Ming and Casing Macron positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, Casing Macron 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 Casing Macron will offset losses from the drop in Casing Macron'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 |
Casing Macron vs. Niching Industrial | Casing Macron vs. Dimension Computer Technology | Casing Macron vs. Kworld Computer Co | Casing Macron vs. Ruentex Development Co |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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