Correlation Between U Ming and Chinese Maritime
Can any of the company-specific risk be diversified away by investing in both U Ming and Chinese Maritime 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 U Ming and Chinese Maritime into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between U Ming Marine Transport and Chinese Maritime Transport, you can compare the effects of market volatilities on U Ming and Chinese Maritime 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 U Ming with a short position of Chinese Maritime. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Ming and Chinese Maritime.
Diversification Opportunities for U Ming and Chinese Maritime
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 2606 and Chinese is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding U Ming Marine Transport and Chinese Maritime Transport in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chinese Maritime Tra and U 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 U Ming Marine Transport are associated (or correlated) with Chinese Maritime. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chinese Maritime Tra has no effect on the direction of U Ming i.e., U Ming and Chinese Maritime go up and down completely randomly.
Pair Corralation between U Ming and Chinese Maritime
Assuming the 90 days trading horizon U Ming Marine Transport is expected to generate 0.77 times more return on investment than Chinese Maritime. However, U Ming Marine Transport is 1.29 times less risky than Chinese Maritime. It trades about 0.16 of its potential returns per unit of risk. Chinese Maritime Transport is currently generating about 0.04 per unit of risk. If you would invest 5,120 in U Ming Marine Transport on September 12, 2024 and sell it today you would earn a total of 670.00 from holding U Ming Marine Transport or generate 13.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
U Ming Marine Transport vs. Chinese Maritime Transport
Performance |
Timeline |
U Ming Marine |
Chinese Maritime Tra |
U Ming and Chinese Maritime Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with U Ming and Chinese Maritime
The main advantage of trading using opposite U Ming and Chinese Maritime positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U Ming position performs unexpectedly, Chinese Maritime 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 Chinese Maritime will offset losses from the drop in Chinese Maritime's long position.U Ming vs. Yang Ming Marine | U Ming vs. Wan Hai Lines | U Ming vs. Taiwan Navigation Co | U Ming vs. China Airlines |
Chinese Maritime vs. Yang Ming Marine | Chinese Maritime vs. Wan Hai Lines | Chinese Maritime vs. U Ming Marine Transport | Chinese Maritime vs. Taiwan Navigation 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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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