Correlation Between Kellanova and Greencore Group
Can any of the company-specific risk be diversified away by investing in both Kellanova and Greencore Group 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 Greencore Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kellanova and Greencore Group PLC, you can compare the effects of market volatilities on Kellanova and Greencore Group 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 Greencore Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kellanova and Greencore Group.
Diversification Opportunities for Kellanova and Greencore Group
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kellanova and Greencore is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Kellanova and Greencore Group PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greencore Group PLC 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 Greencore Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greencore Group PLC has no effect on the direction of Kellanova i.e., Kellanova and Greencore Group go up and down completely randomly.
Pair Corralation between Kellanova and Greencore Group
Taking into account the 90-day investment horizon Kellanova is expected to generate 0.09 times more return on investment than Greencore Group. However, Kellanova is 10.69 times less risky than Greencore Group. It trades about 0.27 of its potential returns per unit of risk. Greencore Group PLC is currently generating about -0.05 per unit of risk. If you would invest 8,026 in Kellanova on December 30, 2024 and sell it today you would earn a total of 221.00 from holding Kellanova or generate 2.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kellanova vs. Greencore Group PLC
Performance |
Timeline |
Kellanova |
Greencore Group PLC |
Kellanova and Greencore Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kellanova and Greencore Group
The main advantage of trading using opposite Kellanova and Greencore Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kellanova position performs unexpectedly, Greencore Group 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 Greencore Group will offset losses from the drop in Greencore Group's long position.Kellanova vs. Campbell Soup | Kellanova vs. ConAgra Foods | Kellanova vs. Hormel Foods | Kellanova vs. Kraft Heinz Co |
Greencore Group vs. Broadleaf Co | Greencore Group vs. Smithfield Foods, Common | Greencore Group vs. Saia Inc | Greencore Group vs. Astral Foods Limited |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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