Correlation Between ConAgra Foods and Philip Morris
Can any of the company-specific risk be diversified away by investing in both ConAgra Foods and Philip Morris 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 ConAgra Foods and Philip Morris into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ConAgra Foods and Philip Morris International, you can compare the effects of market volatilities on ConAgra Foods and Philip Morris 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 ConAgra Foods with a short position of Philip Morris. Check out your portfolio center. Please also check ongoing floating volatility patterns of ConAgra Foods and Philip Morris.
Diversification Opportunities for ConAgra Foods and Philip Morris
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ConAgra and Philip is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding ConAgra Foods and Philip Morris International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Philip Morris Intern and ConAgra Foods 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 ConAgra Foods are associated (or correlated) with Philip Morris. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Philip Morris Intern has no effect on the direction of ConAgra Foods i.e., ConAgra Foods and Philip Morris go up and down completely randomly.
Pair Corralation between ConAgra Foods and Philip Morris
Considering the 90-day investment horizon ConAgra Foods is expected to under-perform the Philip Morris. But the stock apears to be less risky and, when comparing its historical volatility, ConAgra Foods is 1.15 times less risky than Philip Morris. The stock trades about -0.04 of its potential returns per unit of risk. The Philip Morris International is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 13,160 in Philip Morris International on November 28, 2024 and sell it today you would earn a total of 2,582 from holding Philip Morris International or generate 19.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ConAgra Foods vs. Philip Morris International
Performance |
Timeline |
ConAgra Foods |
Philip Morris Intern |
ConAgra Foods and Philip Morris Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ConAgra Foods and Philip Morris
The main advantage of trading using opposite ConAgra Foods and Philip Morris positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ConAgra Foods position performs unexpectedly, Philip Morris 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 Philip Morris will offset losses from the drop in Philip Morris' long position.ConAgra Foods vs. Kellanova | ConAgra Foods vs. General Mills | ConAgra Foods vs. JM Smucker | ConAgra Foods vs. Hormel Foods |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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