Correlation Between XinJiang GuoTong and Hubeiyichang Transportation
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By analyzing existing cross correlation between XinJiang GuoTong Pipeline and Hubeiyichang Transportation Group, you can compare the effects of market volatilities on XinJiang GuoTong and Hubeiyichang Transportation 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 XinJiang GuoTong with a short position of Hubeiyichang Transportation. Check out your portfolio center. Please also check ongoing floating volatility patterns of XinJiang GuoTong and Hubeiyichang Transportation.
Diversification Opportunities for XinJiang GuoTong and Hubeiyichang Transportation
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between XinJiang and Hubeiyichang is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding XinJiang GuoTong Pipeline and Hubeiyichang Transportation Gr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hubeiyichang Transportation and XinJiang GuoTong 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 XinJiang GuoTong Pipeline are associated (or correlated) with Hubeiyichang Transportation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hubeiyichang Transportation has no effect on the direction of XinJiang GuoTong i.e., XinJiang GuoTong and Hubeiyichang Transportation go up and down completely randomly.
Pair Corralation between XinJiang GuoTong and Hubeiyichang Transportation
Assuming the 90 days trading horizon XinJiang GuoTong Pipeline is expected to generate 1.62 times more return on investment than Hubeiyichang Transportation. However, XinJiang GuoTong is 1.62 times more volatile than Hubeiyichang Transportation Group. It trades about 0.2 of its potential returns per unit of risk. Hubeiyichang Transportation Group is currently generating about 0.13 per unit of risk. If you would invest 638.00 in XinJiang GuoTong Pipeline on September 3, 2024 and sell it today you would earn a total of 293.00 from holding XinJiang GuoTong Pipeline or generate 45.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
XinJiang GuoTong Pipeline vs. Hubeiyichang Transportation Gr
Performance |
Timeline |
XinJiang GuoTong Pipeline |
Hubeiyichang Transportation |
XinJiang GuoTong and Hubeiyichang Transportation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XinJiang GuoTong and Hubeiyichang Transportation
The main advantage of trading using opposite XinJiang GuoTong and Hubeiyichang Transportation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XinJiang GuoTong position performs unexpectedly, Hubeiyichang Transportation 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 Hubeiyichang Transportation will offset losses from the drop in Hubeiyichang Transportation's long position.XinJiang GuoTong vs. Iat Automobile Technology | XinJiang GuoTong vs. Sinomach Automobile Co | XinJiang GuoTong vs. Guangzhou Automobile Group | XinJiang GuoTong vs. Ningxia Younglight Chemicals |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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