Correlation Between Zhejiang Qianjiang and SGSG Sciencetechnolog
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By analyzing existing cross correlation between Zhejiang Qianjiang Motorcycle and SGSG Sciencetechnology Co, you can compare the effects of market volatilities on Zhejiang Qianjiang and SGSG Sciencetechnolog 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 Zhejiang Qianjiang with a short position of SGSG Sciencetechnolog. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhejiang Qianjiang and SGSG Sciencetechnolog.
Diversification Opportunities for Zhejiang Qianjiang and SGSG Sciencetechnolog
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Zhejiang and SGSG is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Zhejiang Qianjiang Motorcycle and SGSG Sciencetechnology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SGSG Sciencetechnology and Zhejiang Qianjiang 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 Zhejiang Qianjiang Motorcycle are associated (or correlated) with SGSG Sciencetechnolog. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SGSG Sciencetechnology has no effect on the direction of Zhejiang Qianjiang i.e., Zhejiang Qianjiang and SGSG Sciencetechnolog go up and down completely randomly.
Pair Corralation between Zhejiang Qianjiang and SGSG Sciencetechnolog
Assuming the 90 days trading horizon Zhejiang Qianjiang is expected to generate 2.81 times less return on investment than SGSG Sciencetechnolog. But when comparing it to its historical volatility, Zhejiang Qianjiang Motorcycle is 3.01 times less risky than SGSG Sciencetechnolog. It trades about 0.15 of its potential returns per unit of risk. SGSG Sciencetechnology Co is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 4,995 in SGSG Sciencetechnology Co on October 8, 2024 and sell it today you would earn a total of 844.00 from holding SGSG Sciencetechnology Co or generate 16.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Zhejiang Qianjiang Motorcycle vs. SGSG Sciencetechnology Co
Performance |
Timeline |
Zhejiang Qianjiang |
SGSG Sciencetechnology |
Zhejiang Qianjiang and SGSG Sciencetechnolog Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhejiang Qianjiang and SGSG Sciencetechnolog
The main advantage of trading using opposite Zhejiang Qianjiang and SGSG Sciencetechnolog positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhejiang Qianjiang position performs unexpectedly, SGSG Sciencetechnolog 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 SGSG Sciencetechnolog will offset losses from the drop in SGSG Sciencetechnolog's long position.Zhejiang Qianjiang vs. Agricultural Bank of | Zhejiang Qianjiang vs. Postal Savings Bank | Zhejiang Qianjiang vs. Gansu Jiu Steel | Zhejiang Qianjiang vs. Shandong Mining Machinery |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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