Correlation Between Rongsheng Petrochemical and Aofu Environmental
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By analyzing existing cross correlation between Rongsheng Petrochemical Co and Aofu Environmental Technology, you can compare the effects of market volatilities on Rongsheng Petrochemical and Aofu Environmental 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 Rongsheng Petrochemical with a short position of Aofu Environmental. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rongsheng Petrochemical and Aofu Environmental.
Diversification Opportunities for Rongsheng Petrochemical and Aofu Environmental
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Rongsheng and Aofu is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Rongsheng Petrochemical Co and Aofu Environmental Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aofu Environmental and Rongsheng Petrochemical 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 Rongsheng Petrochemical Co are associated (or correlated) with Aofu Environmental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aofu Environmental has no effect on the direction of Rongsheng Petrochemical i.e., Rongsheng Petrochemical and Aofu Environmental go up and down completely randomly.
Pair Corralation between Rongsheng Petrochemical and Aofu Environmental
Assuming the 90 days trading horizon Rongsheng Petrochemical is expected to generate 3.97 times less return on investment than Aofu Environmental. But when comparing it to its historical volatility, Rongsheng Petrochemical Co is 1.69 times less risky than Aofu Environmental. It trades about 0.09 of its potential returns per unit of risk. Aofu Environmental Technology is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 783.00 in Aofu Environmental Technology on September 3, 2024 and sell it today you would earn a total of 397.00 from holding Aofu Environmental Technology or generate 50.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Rongsheng Petrochemical Co vs. Aofu Environmental Technology
Performance |
Timeline |
Rongsheng Petrochemical |
Aofu Environmental |
Rongsheng Petrochemical and Aofu Environmental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rongsheng Petrochemical and Aofu Environmental
The main advantage of trading using opposite Rongsheng Petrochemical and Aofu Environmental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rongsheng Petrochemical position performs unexpectedly, Aofu Environmental 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 Aofu Environmental will offset losses from the drop in Aofu Environmental's long position.Rongsheng Petrochemical vs. Zijin Mining Group | Rongsheng Petrochemical vs. Baoshan Iron Steel | Rongsheng Petrochemical vs. Hoshine Silicon Ind |
Aofu Environmental vs. Zijin Mining Group | Aofu Environmental vs. Baoshan Iron Steel | Aofu Environmental vs. Rongsheng Petrochemical Co | Aofu Environmental vs. Hoshine Silicon Ind |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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