Correlation Between Zhongrun Resources and Jiangxi Lianchuang
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By analyzing existing cross correlation between Zhongrun Resources Investment and Jiangxi Lianchuang Opto electronic, you can compare the effects of market volatilities on Zhongrun Resources and Jiangxi Lianchuang 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 Zhongrun Resources with a short position of Jiangxi Lianchuang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhongrun Resources and Jiangxi Lianchuang.
Diversification Opportunities for Zhongrun Resources and Jiangxi Lianchuang
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Zhongrun and Jiangxi is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Zhongrun Resources Investment and Jiangxi Lianchuang Opto electr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangxi Lianchuang Opto and Zhongrun Resources 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 Zhongrun Resources Investment are associated (or correlated) with Jiangxi Lianchuang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangxi Lianchuang Opto has no effect on the direction of Zhongrun Resources i.e., Zhongrun Resources and Jiangxi Lianchuang go up and down completely randomly.
Pair Corralation between Zhongrun Resources and Jiangxi Lianchuang
Assuming the 90 days trading horizon Zhongrun Resources Investment is expected to generate 1.14 times more return on investment than Jiangxi Lianchuang. However, Zhongrun Resources is 1.14 times more volatile than Jiangxi Lianchuang Opto electronic. It trades about 0.2 of its potential returns per unit of risk. Jiangxi Lianchuang Opto electronic is currently generating about 0.04 per unit of risk. If you would invest 309.00 in Zhongrun Resources Investment on October 25, 2024 and sell it today you would earn a total of 104.00 from holding Zhongrun Resources Investment or generate 33.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Zhongrun Resources Investment vs. Jiangxi Lianchuang Opto electr
Performance |
Timeline |
Zhongrun Resources |
Jiangxi Lianchuang Opto |
Zhongrun Resources and Jiangxi Lianchuang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhongrun Resources and Jiangxi Lianchuang
The main advantage of trading using opposite Zhongrun Resources and Jiangxi Lianchuang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhongrun Resources position performs unexpectedly, Jiangxi Lianchuang 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 Jiangxi Lianchuang will offset losses from the drop in Jiangxi Lianchuang's long position.Zhongrun Resources vs. Fujian Anjoy Foods | Zhongrun Resources vs. Eastroc Beverage Group | Zhongrun Resources vs. Xiwang Foodstuffs Co | Zhongrun Resources vs. Malion New Materials |
Jiangxi Lianchuang vs. Kweichow Moutai Co | Jiangxi Lianchuang vs. Contemporary Amperex Technology | Jiangxi Lianchuang vs. Beijing Roborock Technology | Jiangxi Lianchuang vs. BYD Co Ltd |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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