Correlation Between Kellanova and Borealis Foods
Can any of the company-specific risk be diversified away by investing in both Kellanova and Borealis 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 Kellanova and Borealis Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kellanova and Borealis Foods, you can compare the effects of market volatilities on Kellanova and Borealis 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 Kellanova with a short position of Borealis Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kellanova and Borealis Foods.
Diversification Opportunities for Kellanova and Borealis Foods
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kellanova and Borealis is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Kellanova and Borealis Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Borealis Foods 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 Borealis Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Borealis Foods has no effect on the direction of Kellanova i.e., Kellanova and Borealis Foods go up and down completely randomly.
Pair Corralation between Kellanova and Borealis Foods
Taking into account the 90-day investment horizon Kellanova is expected to generate 6.89 times less return on investment than Borealis Foods. But when comparing it to its historical volatility, Kellanova is 8.3 times less risky than Borealis Foods. It trades about 0.06 of its potential returns per unit of risk. Borealis Foods is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 7.11 in Borealis Foods on August 31, 2024 and sell it today you would lose (0.11) from holding Borealis Foods or give up 1.55% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 49.24% |
| Values | Daily Returns |
Kellanova vs. Borealis Foods
Performance |
| Timeline |
| Kellanova |
| Borealis Foods |
Kellanova and Borealis Foods Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kellanova and Borealis Foods
The main advantage of trading using opposite Kellanova and Borealis Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kellanova position performs unexpectedly, Borealis 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 Borealis Foods will offset losses from the drop in Borealis Foods' long position.| Kellanova vs. Campbell Soup | Kellanova vs. ConAgra Foods | Kellanova vs. Hormel Foods | Kellanova vs. Kraft Heinz Co |
| Borealis Foods vs. Grocery Outlet Holding | Borealis Foods vs. Simon Property Group | Borealis Foods vs. Amgen Inc | Borealis Foods vs. Cedar Realty Trust |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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