Correlation Between Zhongtong Guomai and Cofco Biochemical
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By analyzing existing cross correlation between Zhongtong Guomai Communication and Cofco Biochemical Anhui, you can compare the effects of market volatilities on Zhongtong Guomai and Cofco Biochemical 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 Zhongtong Guomai with a short position of Cofco Biochemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhongtong Guomai and Cofco Biochemical.
Diversification Opportunities for Zhongtong Guomai and Cofco Biochemical
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Zhongtong and Cofco is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Zhongtong Guomai Communication and Cofco Biochemical Anhui in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cofco Biochemical Anhui and Zhongtong Guomai 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 Zhongtong Guomai Communication are associated (or correlated) with Cofco Biochemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cofco Biochemical Anhui has no effect on the direction of Zhongtong Guomai i.e., Zhongtong Guomai and Cofco Biochemical go up and down completely randomly.
Pair Corralation between Zhongtong Guomai and Cofco Biochemical
Assuming the 90 days trading horizon Zhongtong Guomai Communication is expected to under-perform the Cofco Biochemical. In addition to that, Zhongtong Guomai is 2.36 times more volatile than Cofco Biochemical Anhui. It trades about -0.22 of its total potential returns per unit of risk. Cofco Biochemical Anhui is currently generating about -0.02 per unit of volatility. If you would invest 589.00 in Cofco Biochemical Anhui on September 20, 2024 and sell it today you would lose (4.00) from holding Cofco Biochemical Anhui or give up 0.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Zhongtong Guomai Communication vs. Cofco Biochemical Anhui
Performance |
Timeline |
Zhongtong Guomai Com |
Cofco Biochemical Anhui |
Zhongtong Guomai and Cofco Biochemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhongtong Guomai and Cofco Biochemical
The main advantage of trading using opposite Zhongtong Guomai and Cofco Biochemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhongtong Guomai position performs unexpectedly, Cofco Biochemical 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 Cofco Biochemical will offset losses from the drop in Cofco Biochemical's long position.The idea behind Zhongtong Guomai Communication and Cofco Biochemical Anhui pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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