Correlation Between Edible Garden and Jiangsu Expressway
Can any of the company-specific risk be diversified away by investing in both Edible Garden and Jiangsu Expressway 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 Edible Garden and Jiangsu Expressway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Edible Garden AG and Jiangsu Expressway Co, you can compare the effects of market volatilities on Edible Garden and Jiangsu Expressway 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 Edible Garden with a short position of Jiangsu Expressway. Check out your portfolio center. Please also check ongoing floating volatility patterns of Edible Garden and Jiangsu Expressway.
Diversification Opportunities for Edible Garden and Jiangsu Expressway
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Edible and Jiangsu is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Edible Garden AG and Jiangsu Expressway Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangsu Expressway and Edible Garden 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 Edible Garden AG are associated (or correlated) with Jiangsu Expressway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangsu Expressway has no effect on the direction of Edible Garden i.e., Edible Garden and Jiangsu Expressway go up and down completely randomly.
Pair Corralation between Edible Garden and Jiangsu Expressway
Given the investment horizon of 90 days Edible Garden AG is expected to generate 3.93 times more return on investment than Jiangsu Expressway. However, Edible Garden is 3.93 times more volatile than Jiangsu Expressway Co. It trades about 0.11 of its potential returns per unit of risk. Jiangsu Expressway Co is currently generating about 0.0 per unit of risk. If you would invest 21.00 in Edible Garden AG on October 6, 2024 and sell it today you would earn a total of 13.00 from holding Edible Garden AG or generate 61.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Edible Garden AG vs. Jiangsu Expressway Co
Performance |
Timeline |
Edible Garden AG |
Jiangsu Expressway |
Edible Garden and Jiangsu Expressway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Edible Garden and Jiangsu Expressway
The main advantage of trading using opposite Edible Garden and Jiangsu Expressway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Edible Garden position performs unexpectedly, Jiangsu Expressway 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 Jiangsu Expressway will offset losses from the drop in Jiangsu Expressway's long position.Edible Garden vs. Golden Agri Resources | Edible Garden vs. Vital Farms | Edible Garden vs. Local Bounti Corp | Edible Garden vs. Fresh Del Monte |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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