Correlation Between Dazhong Transportation and China Petroleum
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By analyzing existing cross correlation between Dazhong Transportation Group and China Petroleum Chemical, you can compare the effects of market volatilities on Dazhong Transportation and China Petroleum 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 Dazhong Transportation with a short position of China Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dazhong Transportation and China Petroleum.
Diversification Opportunities for Dazhong Transportation and China Petroleum
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dazhong and China is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Dazhong Transportation Group and China Petroleum Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Petroleum Chemical and Dazhong Transportation 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 Dazhong Transportation Group are associated (or correlated) with China Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Petroleum Chemical has no effect on the direction of Dazhong Transportation i.e., Dazhong Transportation and China Petroleum go up and down completely randomly.
Pair Corralation between Dazhong Transportation and China Petroleum
Assuming the 90 days trading horizon Dazhong Transportation Group is expected to generate 1.74 times more return on investment than China Petroleum. However, Dazhong Transportation is 1.74 times more volatile than China Petroleum Chemical. It trades about 0.17 of its potential returns per unit of risk. China Petroleum Chemical is currently generating about -0.07 per unit of risk. If you would invest 19.00 in Dazhong Transportation Group on September 1, 2024 and sell it today you would earn a total of 7.00 from holding Dazhong Transportation Group or generate 36.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dazhong Transportation Group vs. China Petroleum Chemical
Performance |
Timeline |
Dazhong Transportation |
China Petroleum Chemical |
Dazhong Transportation and China Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dazhong Transportation and China Petroleum
The main advantage of trading using opposite Dazhong Transportation and China Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dazhong Transportation position performs unexpectedly, China Petroleum 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 China Petroleum will offset losses from the drop in China Petroleum's long position.The idea behind Dazhong Transportation Group and China Petroleum Chemical 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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