Correlation Between Jinxiandai Information and Sinomine Resource
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By analyzing existing cross correlation between Jinxiandai Information Industry and Sinomine Resource Exploration, you can compare the effects of market volatilities on Jinxiandai Information and Sinomine Resource 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 Sinomine Resource. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jinxiandai Information and Sinomine Resource.
Diversification Opportunities for Jinxiandai Information and Sinomine Resource
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Jinxiandai and Sinomine is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Jinxiandai Information Industr and Sinomine Resource Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinomine Resource 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 Sinomine Resource. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinomine Resource has no effect on the direction of Jinxiandai Information i.e., Jinxiandai Information and Sinomine Resource go up and down completely randomly.
Pair Corralation between Jinxiandai Information and Sinomine Resource
Assuming the 90 days trading horizon Jinxiandai Information Industry is expected to generate 2.29 times more return on investment than Sinomine Resource. However, Jinxiandai Information is 2.29 times more volatile than Sinomine Resource Exploration. It trades about 0.03 of its potential returns per unit of risk. Sinomine Resource Exploration is currently generating about -0.08 per unit of risk. If you would invest 848.00 in Jinxiandai Information Industry on December 27, 2024 and sell it today you would earn a total of 31.00 from holding Jinxiandai Information Industry or generate 3.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.28% |
Values | Daily Returns |
Jinxiandai Information Industr vs. Sinomine Resource Exploration
Performance |
Timeline |
Jinxiandai Information |
Sinomine Resource |
Jinxiandai Information and Sinomine Resource Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jinxiandai Information and Sinomine Resource
The main advantage of trading using opposite Jinxiandai Information and Sinomine Resource positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jinxiandai Information position performs unexpectedly, Sinomine Resource 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 Sinomine Resource will offset losses from the drop in Sinomine Resource's long position.Jinxiandai Information vs. China Longyuan Power | Jinxiandai Information vs. PetroChina Co Ltd | Jinxiandai Information vs. Guangxi Guiguan Electric | Jinxiandai Information vs. Yantai North Andre |
Sinomine Resource vs. Anhui Huaren Health | Sinomine Resource vs. Sunwave Communications Co | Sinomine Resource vs. Goldlok Toys Holdings | Sinomine Resource vs. Hangzhou Minsheng Healthcare |
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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