Correlation Between Ford and CF Industries
Can any of the company-specific risk be diversified away by investing in both Ford and CF 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 Ford and CF Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and CF Industries Holdings, you can compare the effects of market volatilities on Ford and CF 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 Ford with a short position of CF Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and CF Industries.
Diversification Opportunities for Ford and CF Industries
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ford and CF Industries is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and CF Industries Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CF Industries Holdings and Ford 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 Ford Motor are associated (or correlated) with CF Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CF Industries Holdings has no effect on the direction of Ford i.e., Ford and CF Industries go up and down completely randomly.
Pair Corralation between Ford and CF Industries
Taking into account the 90-day investment horizon Ford Motor is expected to generate 0.84 times more return on investment than CF Industries. However, Ford Motor is 1.19 times less risky than CF Industries. It trades about 0.02 of its potential returns per unit of risk. CF Industries Holdings is currently generating about -0.04 per unit of risk. If you would invest 957.00 in Ford Motor on December 28, 2024 and sell it today you would earn a total of 15.00 from holding Ford Motor or generate 1.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. CF Industries Holdings
Performance |
Timeline |
Ford Motor |
CF Industries Holdings |
Ford and CF Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and CF Industries
The main advantage of trading using opposite Ford and CF Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, CF 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 CF Industries will offset losses from the drop in CF Industries' long position.The idea behind Ford Motor and CF Industries Holdings pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.CF Industries vs. American Vanguard | CF Industries vs. Aquagold International | CF Industries vs. Morningstar Unconstrained Allocation | CF Industries vs. Thrivent High Yield |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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