Correlation Between Huasi Agricultural and Shenzhen Bingchuan
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By analyzing existing cross correlation between Huasi Agricultural Development and Shenzhen Bingchuan Network, you can compare the effects of market volatilities on Huasi Agricultural and Shenzhen Bingchuan 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 Huasi Agricultural with a short position of Shenzhen Bingchuan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huasi Agricultural and Shenzhen Bingchuan.
Diversification Opportunities for Huasi Agricultural and Shenzhen Bingchuan
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Huasi and Shenzhen is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Huasi Agricultural Development and Shenzhen Bingchuan Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Bingchuan and Huasi Agricultural 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 Huasi Agricultural Development are associated (or correlated) with Shenzhen Bingchuan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Bingchuan has no effect on the direction of Huasi Agricultural i.e., Huasi Agricultural and Shenzhen Bingchuan go up and down completely randomly.
Pair Corralation between Huasi Agricultural and Shenzhen Bingchuan
Assuming the 90 days trading horizon Huasi Agricultural Development is expected to under-perform the Shenzhen Bingchuan. But the stock apears to be less risky and, when comparing its historical volatility, Huasi Agricultural Development is 1.6 times less risky than Shenzhen Bingchuan. The stock trades about -0.33 of its potential returns per unit of risk. The Shenzhen Bingchuan Network is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 2,094 in Shenzhen Bingchuan Network on October 22, 2024 and sell it today you would lose (23.00) from holding Shenzhen Bingchuan Network or give up 1.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.0% |
Values | Daily Returns |
Huasi Agricultural Development vs. Shenzhen Bingchuan Network
Performance |
Timeline |
Huasi Agricultural |
Shenzhen Bingchuan |
Huasi Agricultural and Shenzhen Bingchuan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Huasi Agricultural and Shenzhen Bingchuan
The main advantage of trading using opposite Huasi Agricultural and Shenzhen Bingchuan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huasi Agricultural position performs unexpectedly, Shenzhen Bingchuan 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 Shenzhen Bingchuan will offset losses from the drop in Shenzhen Bingchuan's long position.The idea behind Huasi Agricultural Development and Shenzhen Bingchuan Network 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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