Correlation Between Chinese Maritime and Chang Type
Can any of the company-specific risk be diversified away by investing in both Chinese Maritime and Chang Type 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 Chinese Maritime and Chang Type into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chinese Maritime Transport and Chang Type Industrial, you can compare the effects of market volatilities on Chinese Maritime and Chang Type 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 Chinese Maritime with a short position of Chang Type. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chinese Maritime and Chang Type.
Diversification Opportunities for Chinese Maritime and Chang Type
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Chinese and Chang is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Chinese Maritime Transport and Chang Type Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chang Type Industrial and Chinese Maritime 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 Chinese Maritime Transport are associated (or correlated) with Chang Type. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chang Type Industrial has no effect on the direction of Chinese Maritime i.e., Chinese Maritime and Chang Type go up and down completely randomly.
Pair Corralation between Chinese Maritime and Chang Type
Assuming the 90 days trading horizon Chinese Maritime Transport is expected to generate 1.13 times more return on investment than Chang Type. However, Chinese Maritime is 1.13 times more volatile than Chang Type Industrial. It trades about 0.01 of its potential returns per unit of risk. Chang Type Industrial is currently generating about -0.02 per unit of risk. If you would invest 3,910 in Chinese Maritime Transport on September 28, 2024 and sell it today you would earn a total of 165.00 from holding Chinese Maritime Transport or generate 4.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Chinese Maritime Transport vs. Chang Type Industrial
Performance |
Timeline |
Chinese Maritime Tra |
Chang Type Industrial |
Chinese Maritime and Chang Type Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chinese Maritime and Chang Type
The main advantage of trading using opposite Chinese Maritime and Chang Type positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chinese Maritime position performs unexpectedly, Chang Type 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 Chang Type will offset losses from the drop in Chang Type's long position.Chinese Maritime vs. Yang Ming Marine | Chinese Maritime vs. Eva Airways Corp | Chinese Maritime vs. U Ming Marine Transport |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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