Correlation Between Ningbo Fangzheng and Guangdong Xiongsu
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By analyzing existing cross correlation between Ningbo Fangzheng Automobile and Guangdong Xiongsu Technology, you can compare the effects of market volatilities on Ningbo Fangzheng and Guangdong Xiongsu 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 Ningbo Fangzheng with a short position of Guangdong Xiongsu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningbo Fangzheng and Guangdong Xiongsu.
Diversification Opportunities for Ningbo Fangzheng and Guangdong Xiongsu
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ningbo and Guangdong is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Ningbo Fangzheng Automobile and Guangdong Xiongsu Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangdong Xiongsu and Ningbo Fangzheng 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 Ningbo Fangzheng Automobile are associated (or correlated) with Guangdong Xiongsu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangdong Xiongsu has no effect on the direction of Ningbo Fangzheng i.e., Ningbo Fangzheng and Guangdong Xiongsu go up and down completely randomly.
Pair Corralation between Ningbo Fangzheng and Guangdong Xiongsu
Assuming the 90 days trading horizon Ningbo Fangzheng is expected to generate 10.06 times less return on investment than Guangdong Xiongsu. But when comparing it to its historical volatility, Ningbo Fangzheng Automobile is 1.52 times less risky than Guangdong Xiongsu. It trades about 0.01 of its potential returns per unit of risk. Guangdong Xiongsu Technology is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 595.00 in Guangdong Xiongsu Technology on October 11, 2024 and sell it today you would earn a total of 85.00 from holding Guangdong Xiongsu Technology or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ningbo Fangzheng Automobile vs. Guangdong Xiongsu Technology
Performance |
Timeline |
Ningbo Fangzheng Aut |
Guangdong Xiongsu |
Ningbo Fangzheng and Guangdong Xiongsu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningbo Fangzheng and Guangdong Xiongsu
The main advantage of trading using opposite Ningbo Fangzheng and Guangdong Xiongsu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningbo Fangzheng position performs unexpectedly, Guangdong Xiongsu 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 Guangdong Xiongsu will offset losses from the drop in Guangdong Xiongsu's long position.Ningbo Fangzheng vs. Fujian Longzhou Transportation | Ningbo Fangzheng vs. ROPEOK Technology Group | Ningbo Fangzheng vs. Sinofibers Technology Co | Ningbo Fangzheng vs. Tianshui Huatian Technology |
Guangdong Xiongsu vs. Orinko Advanced Plastics | Guangdong Xiongsu vs. Chongqing Changan Automobile | Guangdong Xiongsu vs. Ningbo Fangzheng Automobile | Guangdong Xiongsu vs. GRIPM Advanced Materials |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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