Correlation Between Anhui Fuhuang and XinJiang GuoTong
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By analyzing existing cross correlation between Anhui Fuhuang Steel and XinJiang GuoTong Pipeline, you can compare the effects of market volatilities on Anhui Fuhuang and XinJiang GuoTong 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 Anhui Fuhuang with a short position of XinJiang GuoTong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Anhui Fuhuang and XinJiang GuoTong.
Diversification Opportunities for Anhui Fuhuang and XinJiang GuoTong
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Anhui and XinJiang is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Anhui Fuhuang Steel and XinJiang GuoTong Pipeline in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XinJiang GuoTong Pipeline and Anhui Fuhuang 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 Anhui Fuhuang Steel are associated (or correlated) with XinJiang GuoTong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XinJiang GuoTong Pipeline has no effect on the direction of Anhui Fuhuang i.e., Anhui Fuhuang and XinJiang GuoTong go up and down completely randomly.
Pair Corralation between Anhui Fuhuang and XinJiang GuoTong
Assuming the 90 days trading horizon Anhui Fuhuang is expected to generate 1.3 times less return on investment than XinJiang GuoTong. In addition to that, Anhui Fuhuang is 1.49 times more volatile than XinJiang GuoTong Pipeline. It trades about 0.07 of its total potential returns per unit of risk. XinJiang GuoTong Pipeline is currently generating about 0.14 per unit of volatility. If you would invest 778.00 in XinJiang GuoTong Pipeline on November 7, 2024 and sell it today you would earn a total of 42.00 from holding XinJiang GuoTong Pipeline or generate 5.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Anhui Fuhuang Steel vs. XinJiang GuoTong Pipeline
Performance |
| Timeline |
| Anhui Fuhuang Steel |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| XinJiang GuoTong Pipeline |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Anhui Fuhuang and XinJiang GuoTong Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Anhui Fuhuang and XinJiang GuoTong
The main advantage of trading using opposite Anhui Fuhuang and XinJiang GuoTong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Anhui Fuhuang position performs unexpectedly, XinJiang GuoTong 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 XinJiang GuoTong will offset losses from the drop in XinJiang GuoTong's long position.The idea behind Anhui Fuhuang Steel and XinJiang GuoTong Pipeline 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.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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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