Correlation Between Zhengping RoadBridge and Fujian Longzhou
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By analyzing existing cross correlation between Zhengping RoadBridge Constr and Fujian Longzhou Transportation, you can compare the effects of market volatilities on Zhengping RoadBridge and Fujian Longzhou 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 Zhengping RoadBridge with a short position of Fujian Longzhou. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhengping RoadBridge and Fujian Longzhou.
Diversification Opportunities for Zhengping RoadBridge and Fujian Longzhou
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Zhengping and Fujian is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Zhengping RoadBridge Constr and Fujian Longzhou Transportation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fujian Longzhou Tran and Zhengping RoadBridge 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 Zhengping RoadBridge Constr are associated (or correlated) with Fujian Longzhou. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fujian Longzhou Tran has no effect on the direction of Zhengping RoadBridge i.e., Zhengping RoadBridge and Fujian Longzhou go up and down completely randomly.
Pair Corralation between Zhengping RoadBridge and Fujian Longzhou
Assuming the 90 days trading horizon Zhengping RoadBridge Constr is expected to generate 1.26 times more return on investment than Fujian Longzhou. However, Zhengping RoadBridge is 1.26 times more volatile than Fujian Longzhou Transportation. It trades about 0.1 of its potential returns per unit of risk. Fujian Longzhou Transportation is currently generating about -0.13 per unit of risk. If you would invest 313.00 in Zhengping RoadBridge Constr on October 11, 2024 and sell it today you would earn a total of 56.00 from holding Zhengping RoadBridge Constr or generate 17.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Zhengping RoadBridge Constr vs. Fujian Longzhou Transportation
Performance |
Timeline |
Zhengping RoadBridge |
Fujian Longzhou Tran |
Zhengping RoadBridge and Fujian Longzhou Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhengping RoadBridge and Fujian Longzhou
The main advantage of trading using opposite Zhengping RoadBridge and Fujian Longzhou positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhengping RoadBridge position performs unexpectedly, Fujian Longzhou 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 Fujian Longzhou will offset losses from the drop in Fujian Longzhou's long position.The idea behind Zhengping RoadBridge Constr and Fujian Longzhou Transportation 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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