Correlation Between China Securities and Chongqing Sulian
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By analyzing existing cross correlation between China Securities 800 and Chongqing Sulian Plastic, you can compare the effects of market volatilities on China Securities and Chongqing Sulian 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 China Securities with a short position of Chongqing Sulian. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Chongqing Sulian.
Diversification Opportunities for China Securities and Chongqing Sulian
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Chongqing is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Chongqing Sulian Plastic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chongqing Sulian Plastic and China Securities 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 China Securities 800 are associated (or correlated) with Chongqing Sulian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chongqing Sulian Plastic has no effect on the direction of China Securities i.e., China Securities and Chongqing Sulian go up and down completely randomly.
Pair Corralation between China Securities and Chongqing Sulian
Assuming the 90 days trading horizon China Securities 800 is expected to under-perform the Chongqing Sulian. But the index apears to be less risky and, when comparing its historical volatility, China Securities 800 is 4.84 times less risky than Chongqing Sulian. The index trades about -0.01 of its potential returns per unit of risk. The Chongqing Sulian Plastic is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,810 in Chongqing Sulian Plastic on December 4, 2024 and sell it today you would earn a total of 980.00 from holding Chongqing Sulian Plastic or generate 34.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Securities 800 vs. Chongqing Sulian Plastic
Performance |
Timeline |
China Securities and Chongqing Sulian Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Chongqing Sulian Plastic
Pair trading matchups for Chongqing Sulian
Pair Trading with China Securities and Chongqing Sulian
The main advantage of trading using opposite China Securities and Chongqing Sulian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Chongqing Sulian 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 Chongqing Sulian will offset losses from the drop in Chongqing Sulian's long position.China Securities vs. Guangzhou Haozhi Industrial | China Securities vs. Gem Year Industrial Co | China Securities vs. Silkroad Visual Technology | China Securities vs. Sichuan Yahua Industrial |
Chongqing Sulian vs. Gifore Agricultural Machinery | Chongqing Sulian vs. Shandong Polymer Biochemicals | Chongqing Sulian vs. Yingde Greatchem Chemicals | Chongqing Sulian vs. Shaanxi Construction 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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