Correlation Between Kellanova and Archer Daniels
Can any of the company-specific risk be diversified away by investing in both Kellanova and Archer Daniels 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 Kellanova and Archer Daniels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kellanova and Archer Daniels Midland, you can compare the effects of market volatilities on Kellanova and Archer Daniels 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 Kellanova with a short position of Archer Daniels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kellanova and Archer Daniels.
Diversification Opportunities for Kellanova and Archer Daniels
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kellanova and Archer is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Kellanova and Archer Daniels Midland in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Archer Daniels Midland and Kellanova 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 Kellanova are associated (or correlated) with Archer Daniels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Archer Daniels Midland has no effect on the direction of Kellanova i.e., Kellanova and Archer Daniels go up and down completely randomly.
Pair Corralation between Kellanova and Archer Daniels
Taking into account the 90-day investment horizon Kellanova is expected to generate 2.19 times less return on investment than Archer Daniels. But when comparing it to its historical volatility, Kellanova is 5.2 times less risky than Archer Daniels. It trades about 0.43 of its potential returns per unit of risk. Archer Daniels Midland is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 4,938 in Archer Daniels Midland on October 20, 2024 and sell it today you would earn a total of 191.00 from holding Archer Daniels Midland or generate 3.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kellanova vs. Archer Daniels Midland
Performance |
| Timeline |
| Kellanova |
| Archer Daniels Midland |
Kellanova and Archer Daniels Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kellanova and Archer Daniels
The main advantage of trading using opposite Kellanova and Archer Daniels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kellanova position performs unexpectedly, Archer Daniels 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 Archer Daniels will offset losses from the drop in Archer Daniels' long position.| Kellanova vs. Campbell Soup | Kellanova vs. ConAgra Foods | Kellanova vs. Hormel Foods | Kellanova vs. Kraft Heinz Co |
| Archer Daniels vs. Adecoagro SA | Archer Daniels vs. Cal Maine Foods | Archer Daniels vs. Tyson Foods | Archer Daniels vs. Fresh Del Monte |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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