Correlation Between Rongsheng Petrochemical and Shenzhen Dynanonic
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By analyzing existing cross correlation between Rongsheng Petrochemical Co and Shenzhen Dynanonic Co, you can compare the effects of market volatilities on Rongsheng Petrochemical and Shenzhen Dynanonic 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 Shenzhen Dynanonic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rongsheng Petrochemical and Shenzhen Dynanonic.
Diversification Opportunities for Rongsheng Petrochemical and Shenzhen Dynanonic
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Rongsheng and Shenzhen is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Rongsheng Petrochemical Co and Shenzhen Dynanonic Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Dynanonic 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 Shenzhen Dynanonic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Dynanonic has no effect on the direction of Rongsheng Petrochemical i.e., Rongsheng Petrochemical and Shenzhen Dynanonic go up and down completely randomly.
Pair Corralation between Rongsheng Petrochemical and Shenzhen Dynanonic
Assuming the 90 days trading horizon Rongsheng Petrochemical Co is expected to generate 0.45 times more return on investment than Shenzhen Dynanonic. However, Rongsheng Petrochemical Co is 2.2 times less risky than Shenzhen Dynanonic. It trades about -0.03 of its potential returns per unit of risk. Shenzhen Dynanonic Co is currently generating about -0.06 per unit of risk. If you would invest 1,224 in Rongsheng Petrochemical Co on October 16, 2024 and sell it today you would lose (352.00) from holding Rongsheng Petrochemical Co or give up 28.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Rongsheng Petrochemical Co vs. Shenzhen Dynanonic Co
Performance |
Timeline |
Rongsheng Petrochemical |
Shenzhen Dynanonic |
Rongsheng Petrochemical and Shenzhen Dynanonic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rongsheng Petrochemical and Shenzhen Dynanonic
The main advantage of trading using opposite Rongsheng Petrochemical and Shenzhen Dynanonic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rongsheng Petrochemical position performs unexpectedly, Shenzhen Dynanonic 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 Shenzhen Dynanonic will offset losses from the drop in Shenzhen Dynanonic's long position.The idea behind Rongsheng Petrochemical Co and Shenzhen Dynanonic Co 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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