Correlation Between Jinsanjiang Silicon and Shenzhen Zhongzhuang
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By analyzing existing cross correlation between Jinsanjiang Silicon Material and Shenzhen Zhongzhuang Construction, you can compare the effects of market volatilities on Jinsanjiang Silicon and Shenzhen Zhongzhuang 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 Jinsanjiang Silicon with a short position of Shenzhen Zhongzhuang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jinsanjiang Silicon and Shenzhen Zhongzhuang.
Diversification Opportunities for Jinsanjiang Silicon and Shenzhen Zhongzhuang
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Jinsanjiang and Shenzhen is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Jinsanjiang Silicon Material and Shenzhen Zhongzhuang Construct in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Zhongzhuang and Jinsanjiang Silicon 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 Jinsanjiang Silicon Material are associated (or correlated) with Shenzhen Zhongzhuang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Zhongzhuang has no effect on the direction of Jinsanjiang Silicon i.e., Jinsanjiang Silicon and Shenzhen Zhongzhuang go up and down completely randomly.
Pair Corralation between Jinsanjiang Silicon and Shenzhen Zhongzhuang
Assuming the 90 days trading horizon Jinsanjiang Silicon Material is expected to under-perform the Shenzhen Zhongzhuang. In addition to that, Jinsanjiang Silicon is 1.16 times more volatile than Shenzhen Zhongzhuang Construction. It trades about -0.02 of its total potential returns per unit of risk. Shenzhen Zhongzhuang Construction is currently generating about 0.31 per unit of volatility. If you would invest 203.00 in Shenzhen Zhongzhuang Construction on October 25, 2024 and sell it today you would earn a total of 193.00 from holding Shenzhen Zhongzhuang Construction or generate 95.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Jinsanjiang Silicon Material vs. Shenzhen Zhongzhuang Construct
Performance |
Timeline |
Jinsanjiang Silicon |
Shenzhen Zhongzhuang |
Jinsanjiang Silicon and Shenzhen Zhongzhuang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jinsanjiang Silicon and Shenzhen Zhongzhuang
The main advantage of trading using opposite Jinsanjiang Silicon and Shenzhen Zhongzhuang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jinsanjiang Silicon position performs unexpectedly, Shenzhen Zhongzhuang 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 Shenzhen Zhongzhuang will offset losses from the drop in Shenzhen Zhongzhuang's long position.Jinsanjiang Silicon vs. Zijin Mining Group | Jinsanjiang Silicon vs. Wanhua Chemical Group | Jinsanjiang Silicon vs. Baoshan Iron Steel | Jinsanjiang Silicon vs. Rongsheng Petrochemical Co |
Shenzhen Zhongzhuang vs. Kweichow Moutai Co | Shenzhen Zhongzhuang vs. Contemporary Amperex Technology | Shenzhen Zhongzhuang vs. Beijing Roborock Technology | Shenzhen Zhongzhuang 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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