Correlation Between Yanzhou Coal and Coor Service
Can any of the company-specific risk be diversified away by investing in both Yanzhou Coal and Coor Service at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Yanzhou Coal and Coor Service into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yanzhou Coal Mining and Coor Service Management, you can compare the effects of market volatilities on Yanzhou Coal and Coor Service 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 Yanzhou Coal with a short position of Coor Service. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yanzhou Coal and Coor Service.
Diversification Opportunities for Yanzhou Coal and Coor Service
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Yanzhou and Coor is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Yanzhou Coal Mining and Coor Service Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coor Service Management and Yanzhou Coal 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 Yanzhou Coal Mining are associated (or correlated) with Coor Service. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coor Service Management has no effect on the direction of Yanzhou Coal i.e., Yanzhou Coal and Coor Service go up and down completely randomly.
Pair Corralation between Yanzhou Coal and Coor Service
Assuming the 90 days horizon Yanzhou Coal is expected to generate 3.13 times less return on investment than Coor Service. But when comparing it to its historical volatility, Yanzhou Coal Mining is 2.04 times less risky than Coor Service. It trades about 0.03 of its potential returns per unit of risk. Coor Service Management is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 109.00 in Coor Service Management on September 13, 2024 and sell it today you would earn a total of 191.00 from holding Coor Service Management or generate 175.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yanzhou Coal Mining vs. Coor Service Management
Performance |
Timeline |
Yanzhou Coal Mining |
Coor Service Management |
Yanzhou Coal and Coor Service Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yanzhou Coal and Coor Service
The main advantage of trading using opposite Yanzhou Coal and Coor Service positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yanzhou Coal position performs unexpectedly, Coor Service 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 Coor Service will offset losses from the drop in Coor Service's long position.Yanzhou Coal vs. Coor Service Management | Yanzhou Coal vs. Chuangs China Investments | Yanzhou Coal vs. Waste Management | Yanzhou Coal vs. CeoTronics AG |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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