Correlation Between Xingguang Agricultural and Shanghai Lingyun
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By analyzing existing cross correlation between Xingguang Agricultural Mach and Shanghai Lingyun Industries, you can compare the effects of market volatilities on Xingguang Agricultural and Shanghai Lingyun 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 Xingguang Agricultural with a short position of Shanghai Lingyun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xingguang Agricultural and Shanghai Lingyun.
Diversification Opportunities for Xingguang Agricultural and Shanghai Lingyun
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Xingguang and Shanghai is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Xingguang Agricultural Mach and Shanghai Lingyun Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Lingyun Ind and Xingguang 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 Xingguang Agricultural Mach are associated (or correlated) with Shanghai Lingyun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Lingyun Ind has no effect on the direction of Xingguang Agricultural i.e., Xingguang Agricultural and Shanghai Lingyun go up and down completely randomly.
Pair Corralation between Xingguang Agricultural and Shanghai Lingyun
Assuming the 90 days trading horizon Xingguang Agricultural Mach is expected to under-perform the Shanghai Lingyun. In addition to that, Xingguang Agricultural is 1.59 times more volatile than Shanghai Lingyun Industries. It trades about -0.03 of its total potential returns per unit of risk. Shanghai Lingyun Industries is currently generating about 0.0 per unit of volatility. If you would invest 33.00 in Shanghai Lingyun Industries on December 26, 2024 and sell it today you would lose (1.00) from holding Shanghai Lingyun Industries or give up 3.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.28% |
Values | Daily Returns |
Xingguang Agricultural Mach vs. Shanghai Lingyun Industries
Performance |
Timeline |
Xingguang Agricultural |
Shanghai Lingyun Ind |
Xingguang Agricultural and Shanghai Lingyun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xingguang Agricultural and Shanghai Lingyun
The main advantage of trading using opposite Xingguang Agricultural and Shanghai Lingyun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xingguang Agricultural position performs unexpectedly, Shanghai Lingyun 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 Shanghai Lingyun will offset losses from the drop in Shanghai Lingyun's long position.The idea behind Xingguang Agricultural Mach and Shanghai Lingyun Industries 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 Stocks Directory module to find actively traded stocks across global markets.
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