Correlation Between Chinese Maritime and Green World
Can any of the company-specific risk be diversified away by investing in both Chinese Maritime and Green World 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 Green World 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 Green World Fintech, you can compare the effects of market volatilities on Chinese Maritime and Green World 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 Green World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chinese Maritime and Green World.
Diversification Opportunities for Chinese Maritime and Green World
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Chinese and Green is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Chinese Maritime Transport and Green World Fintech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green World Fintech 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 Green World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green World Fintech has no effect on the direction of Chinese Maritime i.e., Chinese Maritime and Green World go up and down completely randomly.
Pair Corralation between Chinese Maritime and Green World
Assuming the 90 days trading horizon Chinese Maritime Transport is expected to under-perform the Green World. But the stock apears to be less risky and, when comparing its historical volatility, Chinese Maritime Transport is 2.12 times less risky than Green World. The stock trades about -0.05 of its potential returns per unit of risk. The Green World Fintech is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 3,047 in Green World Fintech on September 12, 2024 and sell it today you would earn a total of 3,823 from holding Green World Fintech or generate 125.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Chinese Maritime Transport vs. Green World Fintech
Performance |
| Timeline |
| Chinese Maritime Tra |
| Green World Fintech |
Chinese Maritime and Green World Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Chinese Maritime and Green World
The main advantage of trading using opposite Chinese Maritime and Green World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chinese Maritime position performs unexpectedly, Green World 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 Green World will offset losses from the drop in Green World's long position.| 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 |
| Green World vs. Level Biotechnology | Green World vs. Golden Biotechnology | Green World vs. Apex Biotechnology Corp | Green World vs. Arbor Technology |
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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