Correlation Between Kellanova and Above Food
Can any of the company-specific risk be diversified away by investing in both Kellanova and Above Food 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 Above Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kellanova and Above Food Ingredients, you can compare the effects of market volatilities on Kellanova and Above Food 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 Above Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kellanova and Above Food.
Diversification Opportunities for Kellanova and Above Food
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kellanova and Above is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Kellanova and Above Food Ingredients in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Above Food Ingredients 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 Above Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Above Food Ingredients has no effect on the direction of Kellanova i.e., Kellanova and Above Food go up and down completely randomly.
Pair Corralation between Kellanova and Above Food
Taking into account the 90-day investment horizon Kellanova is expected to generate 21.09 times less return on investment than Above Food. But when comparing it to its historical volatility, Kellanova is 41.0 times less risky than Above Food. It trades about 0.33 of its potential returns per unit of risk. Above Food Ingredients is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 45.00 in Above Food Ingredients on November 27, 2024 and sell it today you would earn a total of 8.00 from holding Above Food Ingredients or generate 17.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kellanova vs. Above Food Ingredients
Performance |
Timeline |
Kellanova |
Above Food Ingredients |
Kellanova and Above Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kellanova and Above Food
The main advantage of trading using opposite Kellanova and Above Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kellanova position performs unexpectedly, Above Food 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 Above Food will offset losses from the drop in Above Food's long position.Kellanova vs. Campbell Soup | Kellanova vs. ConAgra Foods | Kellanova vs. Hormel Foods | Kellanova vs. Kraft Heinz Co |
Above Food vs. Dennys Corp | Above Food vs. LB Foster | Above Food vs. Golden Energy Offshore | Above Food vs. Melco Resorts Entertainment |
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 Anywhere module to track or share privately all of your investments from the convenience of any device.
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