Correlation Between CONAGRA FOODS and United Internet
Can any of the company-specific risk be diversified away by investing in both CONAGRA FOODS and United Internet 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 United Internet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CONAGRA FOODS and United Internet AG, you can compare the effects of market volatilities on CONAGRA FOODS and United Internet 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 United Internet. Check out your portfolio center. Please also check ongoing floating volatility patterns of CONAGRA FOODS and United Internet.
Diversification Opportunities for CONAGRA FOODS and United Internet
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CONAGRA and United is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding CONAGRA FOODS and United Internet AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Internet AG 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 United Internet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Internet AG has no effect on the direction of CONAGRA FOODS i.e., CONAGRA FOODS and United Internet go up and down completely randomly.
Pair Corralation between CONAGRA FOODS and United Internet
Assuming the 90 days trading horizon CONAGRA FOODS is expected to generate 0.44 times more return on investment than United Internet. However, CONAGRA FOODS is 2.28 times less risky than United Internet. It trades about 0.05 of its potential returns per unit of risk. United Internet AG is currently generating about -0.18 per unit of risk. If you would invest 2,638 in CONAGRA FOODS on October 8, 2024 and sell it today you would earn a total of 56.00 from holding CONAGRA FOODS or generate 2.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CONAGRA FOODS vs. United Internet AG
Performance |
Timeline |
CONAGRA FOODS |
United Internet AG |
CONAGRA FOODS and United Internet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CONAGRA FOODS and United Internet
The main advantage of trading using opposite CONAGRA FOODS and United Internet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CONAGRA FOODS position performs unexpectedly, United Internet 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 United Internet will offset losses from the drop in United Internet's long position.CONAGRA FOODS vs. PENN NATL GAMING | CONAGRA FOODS vs. PLAYMATES TOYS | CONAGRA FOODS vs. CN DATANG C | CONAGRA FOODS vs. QINGCI GAMES INC |
United Internet vs. Nippon Telegraph and | United Internet vs. Superior Plus Corp | United Internet vs. NMI Holdings | United Internet vs. SIVERS SEMICONDUCTORS AB |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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