Correlation Between Shandong Sinoglory and Chengtun Mining
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By analyzing existing cross correlation between Shandong Sinoglory Health and Chengtun Mining Group, you can compare the effects of market volatilities on Shandong Sinoglory and Chengtun Mining 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 Shandong Sinoglory with a short position of Chengtun Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shandong Sinoglory and Chengtun Mining.
Diversification Opportunities for Shandong Sinoglory and Chengtun Mining
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Shandong and Chengtun is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Shandong Sinoglory Health and Chengtun Mining Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chengtun Mining Group and Shandong Sinoglory 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 Shandong Sinoglory Health are associated (or correlated) with Chengtun Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chengtun Mining Group has no effect on the direction of Shandong Sinoglory i.e., Shandong Sinoglory and Chengtun Mining go up and down completely randomly.
Pair Corralation between Shandong Sinoglory and Chengtun Mining
Assuming the 90 days trading horizon Shandong Sinoglory is expected to generate 5.69 times less return on investment than Chengtun Mining. But when comparing it to its historical volatility, Shandong Sinoglory Health is 1.46 times less risky than Chengtun Mining. It trades about 0.05 of its potential returns per unit of risk. Chengtun Mining Group is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 481.00 in Chengtun Mining Group on December 27, 2024 and sell it today you would earn a total of 121.00 from holding Chengtun Mining Group or generate 25.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shandong Sinoglory Health vs. Chengtun Mining Group
Performance |
Timeline |
Shandong Sinoglory Health |
Chengtun Mining Group |
Shandong Sinoglory and Chengtun Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shandong Sinoglory and Chengtun Mining
The main advantage of trading using opposite Shandong Sinoglory and Chengtun Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shandong Sinoglory position performs unexpectedly, Chengtun Mining 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 Chengtun Mining will offset losses from the drop in Chengtun Mining's long position.The idea behind Shandong Sinoglory Health and Chengtun Mining Group 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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