Correlation Between Shenzhen Noposion and Chengdu Xingrong
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By analyzing existing cross correlation between Shenzhen Noposion Agrochemicals and Chengdu Xingrong Investment, you can compare the effects of market volatilities on Shenzhen Noposion and Chengdu Xingrong 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 Shenzhen Noposion with a short position of Chengdu Xingrong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Noposion and Chengdu Xingrong.
Diversification Opportunities for Shenzhen Noposion and Chengdu Xingrong
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Shenzhen and Chengdu is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Noposion Agrochemical and Chengdu Xingrong Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chengdu Xingrong Inv and Shenzhen Noposion 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 Shenzhen Noposion Agrochemicals are associated (or correlated) with Chengdu Xingrong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chengdu Xingrong Inv has no effect on the direction of Shenzhen Noposion i.e., Shenzhen Noposion and Chengdu Xingrong go up and down completely randomly.
Pair Corralation between Shenzhen Noposion and Chengdu Xingrong
Assuming the 90 days trading horizon Shenzhen Noposion Agrochemicals is expected to generate 1.52 times more return on investment than Chengdu Xingrong. However, Shenzhen Noposion is 1.52 times more volatile than Chengdu Xingrong Investment. It trades about 0.06 of its potential returns per unit of risk. Chengdu Xingrong Investment is currently generating about 0.05 per unit of risk. If you would invest 551.00 in Shenzhen Noposion Agrochemicals on October 24, 2024 and sell it today you would earn a total of 480.00 from holding Shenzhen Noposion Agrochemicals or generate 87.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Shenzhen Noposion Agrochemical vs. Chengdu Xingrong Investment
Performance |
Timeline |
Shenzhen Noposion |
Chengdu Xingrong Inv |
Shenzhen Noposion and Chengdu Xingrong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Noposion and Chengdu Xingrong
The main advantage of trading using opposite Shenzhen Noposion and Chengdu Xingrong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Noposion position performs unexpectedly, Chengdu Xingrong 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 Chengdu Xingrong will offset losses from the drop in Chengdu Xingrong's long position.The idea behind Shenzhen Noposion Agrochemicals and Chengdu Xingrong Investment 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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