Correlation Between Gifore Agricultural and Hongrun Construction
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By analyzing existing cross correlation between Gifore Agricultural Machinery and Hongrun Construction Group, you can compare the effects of market volatilities on Gifore Agricultural and Hongrun Construction 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 Gifore Agricultural with a short position of Hongrun Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gifore Agricultural and Hongrun Construction.
Diversification Opportunities for Gifore Agricultural and Hongrun Construction
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gifore and Hongrun is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Gifore Agricultural Machinery and Hongrun Construction Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hongrun Construction and Gifore Agricultural 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 Gifore Agricultural Machinery are associated (or correlated) with Hongrun Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hongrun Construction has no effect on the direction of Gifore Agricultural i.e., Gifore Agricultural and Hongrun Construction go up and down completely randomly.
Pair Corralation between Gifore Agricultural and Hongrun Construction
Assuming the 90 days trading horizon Gifore Agricultural is expected to generate 1.06 times less return on investment than Hongrun Construction. In addition to that, Gifore Agricultural is 1.26 times more volatile than Hongrun Construction Group. It trades about 0.16 of its total potential returns per unit of risk. Hongrun Construction Group is currently generating about 0.21 per unit of volatility. If you would invest 334.00 in Hongrun Construction Group on September 3, 2024 and sell it today you would earn a total of 131.00 from holding Hongrun Construction Group or generate 39.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gifore Agricultural Machinery vs. Hongrun Construction Group
Performance |
Timeline |
Gifore Agricultural |
Hongrun Construction |
Gifore Agricultural and Hongrun Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gifore Agricultural and Hongrun Construction
The main advantage of trading using opposite Gifore Agricultural and Hongrun Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gifore Agricultural position performs unexpectedly, Hongrun Construction 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 Hongrun Construction will offset losses from the drop in Hongrun Construction's long position.Gifore Agricultural vs. Xiwang Foodstuffs Co | Gifore Agricultural vs. Tianshan Aluminum Group | Gifore Agricultural vs. Zhejiang Yayi Metal | Gifore Agricultural vs. Suzhou Weizhixiang Food |
Hongrun Construction vs. Ye Chiu Metal | Hongrun Construction vs. Jiangsu Jinling Sports | Hongrun Construction vs. Shengda Mining Co | Hongrun Construction vs. Tianjin Capital Environmental |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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