Correlation Between China General and Ma Kuang
Can any of the company-specific risk be diversified away by investing in both China General and Ma Kuang 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 China General and Ma Kuang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China General Plastics and Ma Kuang Healthcare, you can compare the effects of market volatilities on China General and Ma Kuang 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 China General with a short position of Ma Kuang. Check out your portfolio center. Please also check ongoing floating volatility patterns of China General and Ma Kuang.
Diversification Opportunities for China General and Ma Kuang
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between China and 4139 is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding China General Plastics and Ma Kuang Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ma Kuang Healthcare and China General 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 China General Plastics are associated (or correlated) with Ma Kuang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ma Kuang Healthcare has no effect on the direction of China General i.e., China General and Ma Kuang go up and down completely randomly.
Pair Corralation between China General and Ma Kuang
Assuming the 90 days trading horizon China General Plastics is expected to under-perform the Ma Kuang. In addition to that, China General is 1.78 times more volatile than Ma Kuang Healthcare. It trades about -0.51 of its total potential returns per unit of risk. Ma Kuang Healthcare is currently generating about -0.16 per unit of volatility. If you would invest 3,090 in Ma Kuang Healthcare on September 16, 2024 and sell it today you would lose (95.00) from holding Ma Kuang Healthcare or give up 3.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
China General Plastics vs. Ma Kuang Healthcare
Performance |
Timeline |
China General Plastics |
Ma Kuang Healthcare |
China General and Ma Kuang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China General and Ma Kuang
The main advantage of trading using opposite China General and Ma Kuang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China General position performs unexpectedly, Ma Kuang 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 Ma Kuang will offset losses from the drop in Ma Kuang's long position.China General vs. Tainan Spinning Co | China General vs. Lealea Enterprise Co | China General vs. China Petrochemical Development | China General vs. Ruentex Development Co |
Ma Kuang vs. China General Plastics | Ma Kuang vs. Elite Material Co | Ma Kuang vs. Kworld Computer Co | Ma Kuang vs. U Media Communications |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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