Correlation Between Fujian Longzhou and GreenTech Environmental
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By analyzing existing cross correlation between Fujian Longzhou Transportation and GreenTech Environmental Co, you can compare the effects of market volatilities on Fujian Longzhou and GreenTech Environmental 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 Fujian Longzhou with a short position of GreenTech Environmental. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fujian Longzhou and GreenTech Environmental.
Diversification Opportunities for Fujian Longzhou and GreenTech Environmental
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Fujian and GreenTech is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Fujian Longzhou Transportation and GreenTech Environmental Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GreenTech Environmental and Fujian Longzhou 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 Fujian Longzhou Transportation are associated (or correlated) with GreenTech Environmental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GreenTech Environmental has no effect on the direction of Fujian Longzhou i.e., Fujian Longzhou and GreenTech Environmental go up and down completely randomly.
Pair Corralation between Fujian Longzhou and GreenTech Environmental
Assuming the 90 days trading horizon Fujian Longzhou is expected to generate 14.82 times less return on investment than GreenTech Environmental. In addition to that, Fujian Longzhou is 1.15 times more volatile than GreenTech Environmental Co. It trades about 0.0 of its total potential returns per unit of risk. GreenTech Environmental Co is currently generating about 0.02 per unit of volatility. If you would invest 1,282 in GreenTech Environmental Co on October 9, 2024 and sell it today you would earn a total of 59.00 from holding GreenTech Environmental Co or generate 4.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Fujian Longzhou Transportation vs. GreenTech Environmental Co
Performance |
Timeline |
Fujian Longzhou Tran |
GreenTech Environmental |
Fujian Longzhou and GreenTech Environmental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fujian Longzhou and GreenTech Environmental
The main advantage of trading using opposite Fujian Longzhou and GreenTech Environmental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fujian Longzhou position performs unexpectedly, GreenTech Environmental 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 GreenTech Environmental will offset losses from the drop in GreenTech Environmental's long position.Fujian Longzhou vs. Shanghai V Test Semiconductor | Fujian Longzhou vs. Qingdao Foods Co | Fujian Longzhou vs. Guilin Seamild Foods | Fujian Longzhou vs. Ingenic Semiconductor |
GreenTech Environmental vs. PetroChina Co Ltd | GreenTech Environmental vs. China Mobile Limited | GreenTech Environmental vs. CNOOC Limited | GreenTech Environmental vs. Ping An Insurance |
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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