Correlation Between Ningbo MedicalSystem and Fujian Rongji
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By analyzing existing cross correlation between Ningbo MedicalSystem Biotechnology and Fujian Rongji Software, you can compare the effects of market volatilities on Ningbo MedicalSystem and Fujian Rongji 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 MedicalSystem with a short position of Fujian Rongji. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningbo MedicalSystem and Fujian Rongji.
Diversification Opportunities for Ningbo MedicalSystem and Fujian Rongji
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ningbo and Fujian is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Ningbo MedicalSystem Biotechno and Fujian Rongji Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fujian Rongji Software and Ningbo MedicalSystem 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 MedicalSystem Biotechnology are associated (or correlated) with Fujian Rongji. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fujian Rongji Software has no effect on the direction of Ningbo MedicalSystem i.e., Ningbo MedicalSystem and Fujian Rongji go up and down completely randomly.
Pair Corralation between Ningbo MedicalSystem and Fujian Rongji
Assuming the 90 days trading horizon Ningbo MedicalSystem Biotechnology is expected to under-perform the Fujian Rongji. But the stock apears to be less risky and, when comparing its historical volatility, Ningbo MedicalSystem Biotechnology is 1.39 times less risky than Fujian Rongji. The stock trades about 0.0 of its potential returns per unit of risk. The Fujian Rongji Software is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 635.00 in Fujian Rongji Software on October 7, 2024 and sell it today you would lose (87.00) from holding Fujian Rongji Software or give up 13.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ningbo MedicalSystem Biotechno vs. Fujian Rongji Software
Performance |
Timeline |
Ningbo MedicalSystem |
Fujian Rongji Software |
Ningbo MedicalSystem and Fujian Rongji Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningbo MedicalSystem and Fujian Rongji
The main advantage of trading using opposite Ningbo MedicalSystem and Fujian Rongji positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningbo MedicalSystem position performs unexpectedly, Fujian Rongji 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 Fujian Rongji will offset losses from the drop in Fujian Rongji's long position.Ningbo MedicalSystem vs. Long Yuan Construction | Ningbo MedicalSystem vs. Suzhou Xingye Material | Ningbo MedicalSystem vs. NBTM New Materials | Ningbo MedicalSystem vs. Huasi Agricultural Development |
Fujian Rongji vs. Qingdao Choho Industrial | Fujian Rongji vs. Weihai Honglin Electronic | Fujian Rongji vs. Chengtun Mining Group | Fujian Rongji vs. Xinya Electronic Co |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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