Correlation Between Liaoning Dingjide and Guangzhou Haozhi
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By analyzing existing cross correlation between Liaoning Dingjide Petrochemical and Guangzhou Haozhi Industrial, you can compare the effects of market volatilities on Liaoning Dingjide and Guangzhou Haozhi 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 Liaoning Dingjide with a short position of Guangzhou Haozhi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Liaoning Dingjide and Guangzhou Haozhi.
Diversification Opportunities for Liaoning Dingjide and Guangzhou Haozhi
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Liaoning and Guangzhou is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Liaoning Dingjide Petrochemica and Guangzhou Haozhi Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou Haozhi Ind and Liaoning Dingjide 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 Liaoning Dingjide Petrochemical are associated (or correlated) with Guangzhou Haozhi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou Haozhi Ind has no effect on the direction of Liaoning Dingjide i.e., Liaoning Dingjide and Guangzhou Haozhi go up and down completely randomly.
Pair Corralation between Liaoning Dingjide and Guangzhou Haozhi
Assuming the 90 days trading horizon Liaoning Dingjide is expected to generate 6.72 times less return on investment than Guangzhou Haozhi. But when comparing it to its historical volatility, Liaoning Dingjide Petrochemical is 1.37 times less risky than Guangzhou Haozhi. It trades about 0.02 of its potential returns per unit of risk. Guangzhou Haozhi Industrial is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,643 in Guangzhou Haozhi Industrial on October 25, 2024 and sell it today you would earn a total of 539.00 from holding Guangzhou Haozhi Industrial or generate 32.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Liaoning Dingjide Petrochemica vs. Guangzhou Haozhi Industrial
Performance |
Timeline |
Liaoning Dingjide |
Guangzhou Haozhi Ind |
Liaoning Dingjide and Guangzhou Haozhi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Liaoning Dingjide and Guangzhou Haozhi
The main advantage of trading using opposite Liaoning Dingjide and Guangzhou Haozhi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Liaoning Dingjide position performs unexpectedly, Guangzhou Haozhi 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 Guangzhou Haozhi will offset losses from the drop in Guangzhou Haozhi's long position.Liaoning Dingjide vs. Zijin Mining Group | Liaoning Dingjide vs. Wanhua Chemical Group | Liaoning Dingjide vs. Baoshan Iron Steel | Liaoning Dingjide vs. Rongsheng Petrochemical Co |
Guangzhou Haozhi vs. Kweichow Moutai Co | Guangzhou Haozhi vs. Contemporary Amperex Technology | Guangzhou Haozhi vs. Beijing Roborock Technology | Guangzhou Haozhi vs. BYD Co Ltd |
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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