Correlation Between Sinocat Environmental and Cangzhou Mingzhu
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By analyzing existing cross correlation between Sinocat Environmental Technology and Cangzhou Mingzhu Plastic, you can compare the effects of market volatilities on Sinocat Environmental and Cangzhou Mingzhu 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 Sinocat Environmental with a short position of Cangzhou Mingzhu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sinocat Environmental and Cangzhou Mingzhu.
Diversification Opportunities for Sinocat Environmental and Cangzhou Mingzhu
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sinocat and Cangzhou is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Sinocat Environmental Technolo and Cangzhou Mingzhu Plastic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cangzhou Mingzhu Plastic and Sinocat 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 Sinocat Environmental Technology are associated (or correlated) with Cangzhou Mingzhu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cangzhou Mingzhu Plastic has no effect on the direction of Sinocat Environmental i.e., Sinocat Environmental and Cangzhou Mingzhu go up and down completely randomly.
Pair Corralation between Sinocat Environmental and Cangzhou Mingzhu
Assuming the 90 days trading horizon Sinocat Environmental Technology is expected to generate 1.63 times more return on investment than Cangzhou Mingzhu. However, Sinocat Environmental is 1.63 times more volatile than Cangzhou Mingzhu Plastic. It trades about -0.02 of its potential returns per unit of risk. Cangzhou Mingzhu Plastic is currently generating about -0.04 per unit of risk. If you would invest 1,783 in Sinocat Environmental Technology on October 7, 2024 and sell it today you would lose (169.00) from holding Sinocat Environmental Technology or give up 9.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sinocat Environmental Technolo vs. Cangzhou Mingzhu Plastic
Performance |
Timeline |
Sinocat Environmental |
Cangzhou Mingzhu Plastic |
Sinocat Environmental and Cangzhou Mingzhu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sinocat Environmental and Cangzhou Mingzhu
The main advantage of trading using opposite Sinocat Environmental and Cangzhou Mingzhu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sinocat Environmental position performs unexpectedly, Cangzhou Mingzhu 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 Cangzhou Mingzhu will offset losses from the drop in Cangzhou Mingzhu's long position.The idea behind Sinocat Environmental Technology and Cangzhou Mingzhu Plastic 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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