Correlation Between Grand Plastic and Green World
Can any of the company-specific risk be diversified away by investing in both Grand Plastic and Green World at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Grand Plastic and Green World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grand Plastic Technology and Green World Fintech, you can compare the effects of market volatilities on Grand Plastic and Green World 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 Grand Plastic with a short position of Green World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grand Plastic and Green World.
Diversification Opportunities for Grand Plastic and Green World
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Grand and Green is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Grand Plastic Technology and Green World Fintech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green World Fintech and Grand Plastic 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 Grand Plastic Technology are associated (or correlated) with Green World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green World Fintech has no effect on the direction of Grand Plastic i.e., Grand Plastic and Green World go up and down completely randomly.
Pair Corralation between Grand Plastic and Green World
Assuming the 90 days trading horizon Grand Plastic Technology is expected to under-perform the Green World. In addition to that, Grand Plastic is 1.47 times more volatile than Green World Fintech. It trades about -0.15 of its total potential returns per unit of risk. Green World Fintech is currently generating about 0.01 per unit of volatility. If you would invest 6,295 in Green World Fintech on December 23, 2024 and sell it today you would lose (75.00) from holding Green World Fintech or give up 1.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Grand Plastic Technology vs. Green World Fintech
Performance |
Timeline |
Grand Plastic Technology |
Green World Fintech |
Grand Plastic and Green World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grand Plastic and Green World
The main advantage of trading using opposite Grand Plastic and Green World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grand Plastic position performs unexpectedly, Green World 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 Green World will offset losses from the drop in Green World's long position.Grand Plastic vs. Vanguard International Semiconductor | Grand Plastic vs. Oceanic Beverages Co | Grand Plastic vs. Realtek Semiconductor Corp | Grand Plastic vs. Niko Semiconductor Co |
Green World vs. U Media Communications | Green World vs. Da Cin Construction Co | Green World vs. China Mobile | Green World vs. Advanced Wireless Semiconductor |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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