Correlation Between Kellanova and Nabors Industries
Can any of the company-specific risk be diversified away by investing in both Kellanova and Nabors Industries 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 Nabors Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kellanova and Nabors Industries, you can compare the effects of market volatilities on Kellanova and Nabors Industries 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 Nabors Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kellanova and Nabors Industries.
Diversification Opportunities for Kellanova and Nabors Industries
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kellanova and Nabors is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Kellanova and Nabors Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nabors Industries 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 Nabors Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nabors Industries has no effect on the direction of Kellanova i.e., Kellanova and Nabors Industries go up and down completely randomly.
Pair Corralation between Kellanova and Nabors Industries
Taking into account the 90-day investment horizon Kellanova is expected to generate 0.24 times more return on investment than Nabors Industries. However, Kellanova is 4.15 times less risky than Nabors Industries. It trades about 0.12 of its potential returns per unit of risk. Nabors Industries is currently generating about -0.02 per unit of risk. If you would invest 5,235 in Kellanova on October 9, 2024 and sell it today you would earn a total of 2,900 from holding Kellanova or generate 55.4% 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. Nabors Industries
Performance |
Timeline |
Kellanova |
Nabors Industries |
Kellanova and Nabors Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kellanova and Nabors Industries
The main advantage of trading using opposite Kellanova and Nabors Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kellanova position performs unexpectedly, Nabors Industries 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 Nabors Industries will offset losses from the drop in Nabors Industries' long position.Kellanova vs. Campbell Soup | Kellanova vs. ConAgra Foods | Kellanova vs. Hormel Foods | Kellanova vs. Kraft Heinz Co |
Nabors Industries vs. United Natural Foods | Nabors Industries vs. Hurco Companies | Nabors Industries vs. Boston Beer | Nabors Industries vs. Park Ohio Holdings |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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