Correlation Between Shenzhen Agricultural and Cinda Securities
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By analyzing existing cross correlation between Shenzhen Agricultural Products and Cinda Securities Co, you can compare the effects of market volatilities on Shenzhen Agricultural and Cinda Securities 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 Shenzhen Agricultural with a short position of Cinda Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Agricultural and Cinda Securities.
Diversification Opportunities for Shenzhen Agricultural and Cinda Securities
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shenzhen and Cinda is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Agricultural Products and Cinda Securities Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cinda Securities and Shenzhen 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 Shenzhen Agricultural Products are associated (or correlated) with Cinda Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cinda Securities has no effect on the direction of Shenzhen Agricultural i.e., Shenzhen Agricultural and Cinda Securities go up and down completely randomly.
Pair Corralation between Shenzhen Agricultural and Cinda Securities
Assuming the 90 days trading horizon Shenzhen Agricultural Products is expected to generate 0.65 times more return on investment than Cinda Securities. However, Shenzhen Agricultural Products is 1.53 times less risky than Cinda Securities. It trades about 0.27 of its potential returns per unit of risk. Cinda Securities Co is currently generating about 0.13 per unit of risk. If you would invest 537.00 in Shenzhen Agricultural Products on September 15, 2024 and sell it today you would earn a total of 236.00 from holding Shenzhen Agricultural Products or generate 43.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shenzhen Agricultural Products vs. Cinda Securities Co
Performance |
Timeline |
Shenzhen Agricultural |
Cinda Securities |
Shenzhen Agricultural and Cinda Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Agricultural and Cinda Securities
The main advantage of trading using opposite Shenzhen Agricultural and Cinda Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Agricultural position performs unexpectedly, Cinda Securities 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 Cinda Securities will offset losses from the drop in Cinda Securities' long position.The idea behind Shenzhen Agricultural Products and Cinda Securities Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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