Correlation Between African Agriculture and ConAgra Foods
Can any of the company-specific risk be diversified away by investing in both African Agriculture and ConAgra Foods 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 African Agriculture and ConAgra Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between African Agriculture Holdings and ConAgra Foods, you can compare the effects of market volatilities on African Agriculture and ConAgra Foods 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 African Agriculture with a short position of ConAgra Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of African Agriculture and ConAgra Foods.
Diversification Opportunities for African Agriculture and ConAgra Foods
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between African and ConAgra is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding African Agriculture Holdings and ConAgra Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ConAgra Foods and African Agriculture 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 African Agriculture Holdings are associated (or correlated) with ConAgra Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ConAgra Foods has no effect on the direction of African Agriculture i.e., African Agriculture and ConAgra Foods go up and down completely randomly.
Pair Corralation between African Agriculture and ConAgra Foods
Given the investment horizon of 90 days African Agriculture Holdings is expected to under-perform the ConAgra Foods. In addition to that, African Agriculture is 5.09 times more volatile than ConAgra Foods. It trades about -0.06 of its total potential returns per unit of risk. ConAgra Foods is currently generating about 0.01 per unit of volatility. If you would invest 3,006 in ConAgra Foods on February 28, 2024 and sell it today you would earn a total of 26.00 from holding ConAgra Foods or generate 0.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
African Agriculture Holdings vs. ConAgra Foods
Performance |
Timeline |
African Agriculture |
ConAgra Foods |
African Agriculture and ConAgra Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with African Agriculture and ConAgra Foods
The main advantage of trading using opposite African Agriculture and ConAgra Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if African Agriculture position performs unexpectedly, ConAgra Foods 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 ConAgra Foods will offset losses from the drop in ConAgra Foods' long position.African Agriculture vs. SW Seed Company | African Agriculture vs. SLC Agricola SA | African Agriculture vs. Forafric Global PLC | African Agriculture vs. Archer Daniels Midland |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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