Correlation Between Zhongshan Public and Anhui Gujing
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By analyzing existing cross correlation between Zhongshan Public Utilities and Anhui Gujing Distillery, you can compare the effects of market volatilities on Zhongshan Public and Anhui Gujing 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 Zhongshan Public with a short position of Anhui Gujing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhongshan Public and Anhui Gujing.
Diversification Opportunities for Zhongshan Public and Anhui Gujing
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Zhongshan and Anhui is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Zhongshan Public Utilities and Anhui Gujing Distillery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Anhui Gujing Distillery and Zhongshan Public 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 Zhongshan Public Utilities are associated (or correlated) with Anhui Gujing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Anhui Gujing Distillery has no effect on the direction of Zhongshan Public i.e., Zhongshan Public and Anhui Gujing go up and down completely randomly.
Pair Corralation between Zhongshan Public and Anhui Gujing
Assuming the 90 days trading horizon Zhongshan Public Utilities is expected to generate 0.72 times more return on investment than Anhui Gujing. However, Zhongshan Public Utilities is 1.39 times less risky than Anhui Gujing. It trades about 0.14 of its potential returns per unit of risk. Anhui Gujing Distillery is currently generating about -0.01 per unit of risk. If you would invest 855.00 in Zhongshan Public Utilities on November 7, 2024 and sell it today you would earn a total of 24.00 from holding Zhongshan Public Utilities or generate 2.81% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Zhongshan Public Utilities vs. Anhui Gujing Distillery
Performance |
| Timeline |
| Zhongshan Public Uti |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Anhui Gujing Distillery |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Zhongshan Public and Anhui Gujing Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Zhongshan Public and Anhui Gujing
The main advantage of trading using opposite Zhongshan Public and Anhui Gujing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhongshan Public position performs unexpectedly, Anhui Gujing 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 Anhui Gujing will offset losses from the drop in Anhui Gujing's long position.The idea behind Zhongshan Public Utilities and Anhui Gujing Distillery 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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