Correlation Between Jinxiandai Information and Suzhou Xingye
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By analyzing existing cross correlation between Jinxiandai Information Industry and Suzhou Xingye Material, you can compare the effects of market volatilities on Jinxiandai Information and Suzhou Xingye 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 Jinxiandai Information with a short position of Suzhou Xingye. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jinxiandai Information and Suzhou Xingye.
Diversification Opportunities for Jinxiandai Information and Suzhou Xingye
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Jinxiandai and Suzhou is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Jinxiandai Information Industr and Suzhou Xingye Material in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Suzhou Xingye Material and Jinxiandai Information 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 Jinxiandai Information Industry are associated (or correlated) with Suzhou Xingye. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Suzhou Xingye Material has no effect on the direction of Jinxiandai Information i.e., Jinxiandai Information and Suzhou Xingye go up and down completely randomly.
Pair Corralation between Jinxiandai Information and Suzhou Xingye
Assuming the 90 days trading horizon Jinxiandai Information is expected to generate 2.36 times less return on investment than Suzhou Xingye. But when comparing it to its historical volatility, Jinxiandai Information Industry is 1.12 times less risky than Suzhou Xingye. It trades about 0.05 of its potential returns per unit of risk. Suzhou Xingye Material is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 850.00 in Suzhou Xingye Material on December 26, 2024 and sell it today you would earn a total of 195.00 from holding Suzhou Xingye Material or generate 22.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jinxiandai Information Industr vs. Suzhou Xingye Material
Performance |
Timeline |
Jinxiandai Information |
Suzhou Xingye Material |
Jinxiandai Information and Suzhou Xingye Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jinxiandai Information and Suzhou Xingye
The main advantage of trading using opposite Jinxiandai Information and Suzhou Xingye positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jinxiandai Information position performs unexpectedly, Suzhou Xingye 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 Suzhou Xingye will offset losses from the drop in Suzhou Xingye's long position.The idea behind Jinxiandai Information Industry and Suzhou Xingye Material 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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