Correlation Between Hangzhou Guotai and Rongcheer Industrial
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By analyzing existing cross correlation between Hangzhou Guotai Environmental and Rongcheer Industrial Technology, you can compare the effects of market volatilities on Hangzhou Guotai and Rongcheer Industrial 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 Hangzhou Guotai with a short position of Rongcheer Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hangzhou Guotai and Rongcheer Industrial.
Diversification Opportunities for Hangzhou Guotai and Rongcheer Industrial
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hangzhou and Rongcheer is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Hangzhou Guotai Environmental and Rongcheer Industrial Technolog in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rongcheer Industrial and Hangzhou Guotai 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 Hangzhou Guotai Environmental are associated (or correlated) with Rongcheer Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rongcheer Industrial has no effect on the direction of Hangzhou Guotai i.e., Hangzhou Guotai and Rongcheer Industrial go up and down completely randomly.
Pair Corralation between Hangzhou Guotai and Rongcheer Industrial
Assuming the 90 days trading horizon Hangzhou Guotai Environmental is expected to generate 0.66 times more return on investment than Rongcheer Industrial. However, Hangzhou Guotai Environmental is 1.52 times less risky than Rongcheer Industrial. It trades about 0.08 of its potential returns per unit of risk. Rongcheer Industrial Technology is currently generating about -0.06 per unit of risk. If you would invest 2,864 in Hangzhou Guotai Environmental on December 26, 2024 and sell it today you would earn a total of 216.00 from holding Hangzhou Guotai Environmental or generate 7.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.28% |
Values | Daily Returns |
Hangzhou Guotai Environmental vs. Rongcheer Industrial Technolog
Performance |
Timeline |
Hangzhou Guotai Envi |
Rongcheer Industrial |
Hangzhou Guotai and Rongcheer Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hangzhou Guotai and Rongcheer Industrial
The main advantage of trading using opposite Hangzhou Guotai and Rongcheer Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hangzhou Guotai position performs unexpectedly, Rongcheer Industrial 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 Rongcheer Industrial will offset losses from the drop in Rongcheer Industrial's long position.Hangzhou Guotai vs. Ningbo Fangzheng Automobile | Hangzhou Guotai vs. Runben Biotechnology Co | Hangzhou Guotai vs. Sunwave Communications Co | Hangzhou Guotai vs. Liaoning Chengda Biotechnology |
Rongcheer Industrial vs. Shanghai Yanpu Metal | Rongcheer Industrial vs. Wuxi Dk Electronic | Rongcheer Industrial vs. Shengda Mining Co | Rongcheer Industrial vs. Zhengzhou Coal Mining |
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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