Correlation Between CF Industries and BBB Foods
Can any of the company-specific risk be diversified away by investing in both CF Industries and BBB 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 CF Industries and BBB Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CF Industries Holdings and BBB Foods, you can compare the effects of market volatilities on CF Industries and BBB 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 CF Industries with a short position of BBB Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of CF Industries and BBB Foods.
Diversification Opportunities for CF Industries and BBB Foods
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CF Industries and BBB is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding CF Industries Holdings and BBB Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BBB Foods and CF Industries 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 CF Industries Holdings are associated (or correlated) with BBB Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BBB Foods has no effect on the direction of CF Industries i.e., CF Industries and BBB Foods go up and down completely randomly.
Pair Corralation between CF Industries and BBB Foods
Allowing for the 90-day total investment horizon CF Industries Holdings is expected to generate 0.57 times more return on investment than BBB Foods. However, CF Industries Holdings is 1.77 times less risky than BBB Foods. It trades about 0.03 of its potential returns per unit of risk. BBB Foods is currently generating about -0.06 per unit of risk. If you would invest 8,368 in CF Industries Holdings on September 23, 2024 and sell it today you would earn a total of 130.00 from holding CF Industries Holdings or generate 1.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CF Industries Holdings vs. BBB Foods
Performance |
Timeline |
CF Industries Holdings |
BBB Foods |
CF Industries and BBB Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CF Industries and BBB Foods
The main advantage of trading using opposite CF Industries and BBB Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CF Industries position performs unexpectedly, BBB 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 BBB Foods will offset losses from the drop in BBB Foods' long position.CF Industries vs. Nutrien | CF Industries vs. Intrepid Potash | CF Industries vs. Corteva | CF Industries vs. ICL Israel Chemicals |
BBB Foods vs. Ryanair Holdings PLC | BBB Foods vs. Azul SA | BBB Foods vs. Stepstone Group | BBB Foods vs. Northstar Clean Technologies |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |