Correlation Between Shengyuan Environmental and Shenzhen MYS
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By analyzing existing cross correlation between Shengyuan Environmental Protection and Shenzhen MYS Environmental, you can compare the effects of market volatilities on Shengyuan Environmental and Shenzhen MYS 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 Shengyuan Environmental with a short position of Shenzhen MYS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shengyuan Environmental and Shenzhen MYS.
Diversification Opportunities for Shengyuan Environmental and Shenzhen MYS
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shengyuan and Shenzhen is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Shengyuan Environmental Protec and Shenzhen MYS Environmental in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen MYS Environ and Shengyuan Environmental 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 Shengyuan Environmental Protection are associated (or correlated) with Shenzhen MYS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen MYS Environ has no effect on the direction of Shengyuan Environmental i.e., Shengyuan Environmental and Shenzhen MYS go up and down completely randomly.
Pair Corralation between Shengyuan Environmental and Shenzhen MYS
Assuming the 90 days trading horizon Shengyuan Environmental Protection is expected to generate 0.66 times more return on investment than Shenzhen MYS. However, Shengyuan Environmental Protection is 1.52 times less risky than Shenzhen MYS. It trades about 0.03 of its potential returns per unit of risk. Shenzhen MYS Environmental is currently generating about -0.01 per unit of risk. If you would invest 1,335 in Shengyuan Environmental Protection on December 27, 2024 and sell it today you would earn a total of 20.00 from holding Shengyuan Environmental Protection or generate 1.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shengyuan Environmental Protec vs. Shenzhen MYS Environmental
Performance |
Timeline |
Shengyuan Environmental |
Shenzhen MYS Environ |
Shengyuan Environmental and Shenzhen MYS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shengyuan Environmental and Shenzhen MYS
The main advantage of trading using opposite Shengyuan Environmental and Shenzhen MYS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shengyuan Environmental position performs unexpectedly, Shenzhen MYS 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 MYS will offset losses from the drop in Shenzhen MYS's long position.The idea behind Shengyuan Environmental Protection and Shenzhen MYS Environmental 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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