Correlation Between Xinxiang Chemical and Zhejiang Kingland
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By analyzing existing cross correlation between Xinxiang Chemical Fiber and Zhejiang Kingland Pipeline, you can compare the effects of market volatilities on Xinxiang Chemical and Zhejiang Kingland 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 Xinxiang Chemical with a short position of Zhejiang Kingland. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinxiang Chemical and Zhejiang Kingland.
Diversification Opportunities for Xinxiang Chemical and Zhejiang Kingland
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Xinxiang and Zhejiang is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Xinxiang Chemical Fiber and Zhejiang Kingland Pipeline in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhejiang Kingland and Xinxiang Chemical 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 Xinxiang Chemical Fiber are associated (or correlated) with Zhejiang Kingland. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhejiang Kingland has no effect on the direction of Xinxiang Chemical i.e., Xinxiang Chemical and Zhejiang Kingland go up and down completely randomly.
Pair Corralation between Xinxiang Chemical and Zhejiang Kingland
Assuming the 90 days trading horizon Xinxiang Chemical Fiber is expected to generate 1.51 times more return on investment than Zhejiang Kingland. However, Xinxiang Chemical is 1.51 times more volatile than Zhejiang Kingland Pipeline. It trades about 0.03 of its potential returns per unit of risk. Zhejiang Kingland Pipeline is currently generating about -0.01 per unit of risk. If you would invest 337.00 in Xinxiang Chemical Fiber on October 27, 2024 and sell it today you would earn a total of 76.00 from holding Xinxiang Chemical Fiber or generate 22.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Xinxiang Chemical Fiber vs. Zhejiang Kingland Pipeline
Performance |
| Timeline |
| Xinxiang Chemical Fiber |
| Zhejiang Kingland |
Xinxiang Chemical and Zhejiang Kingland Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Xinxiang Chemical and Zhejiang Kingland
The main advantage of trading using opposite Xinxiang Chemical and Zhejiang Kingland positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinxiang Chemical position performs unexpectedly, Zhejiang Kingland 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 Zhejiang Kingland will offset losses from the drop in Zhejiang Kingland's long position.The idea behind Xinxiang Chemical Fiber and Zhejiang Kingland Pipeline 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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