Correlation Between Yanzhou Coal and Sumitomo Rubber
Can any of the company-specific risk be diversified away by investing in both Yanzhou Coal and Sumitomo Rubber 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 Sumitomo Rubber 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 Sumitomo Rubber Industries, you can compare the effects of market volatilities on Yanzhou Coal and Sumitomo Rubber 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 Sumitomo Rubber. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yanzhou Coal and Sumitomo Rubber.
Diversification Opportunities for Yanzhou Coal and Sumitomo Rubber
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Yanzhou and Sumitomo is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Yanzhou Coal Mining and Sumitomo Rubber Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Rubber Indu 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 Sumitomo Rubber. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumitomo Rubber Indu has no effect on the direction of Yanzhou Coal i.e., Yanzhou Coal and Sumitomo Rubber go up and down completely randomly.
Pair Corralation between Yanzhou Coal and Sumitomo Rubber
Assuming the 90 days horizon Yanzhou Coal is expected to generate 1.01 times less return on investment than Sumitomo Rubber. In addition to that, Yanzhou Coal is 1.62 times more volatile than Sumitomo Rubber Industries. It trades about 0.06 of its total potential returns per unit of risk. Sumitomo Rubber Industries is currently generating about 0.1 per unit of volatility. If you would invest 955.00 in Sumitomo Rubber Industries on September 20, 2024 and sell it today you would earn a total of 125.00 from holding Sumitomo Rubber Industries or generate 13.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yanzhou Coal Mining vs. Sumitomo Rubber Industries
Performance |
Timeline |
Yanzhou Coal Mining |
Sumitomo Rubber Indu |
Yanzhou Coal and Sumitomo Rubber Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yanzhou Coal and Sumitomo Rubber
The main advantage of trading using opposite Yanzhou Coal and Sumitomo Rubber positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yanzhou Coal position performs unexpectedly, Sumitomo Rubber 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 Sumitomo Rubber will offset losses from the drop in Sumitomo Rubber's long position.Yanzhou Coal vs. Sumitomo Rubber Industries | Yanzhou Coal vs. Soken Chemical Engineering | Yanzhou Coal vs. China BlueChemical | Yanzhou Coal vs. Sanyo Chemical Industries |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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