Correlation Between E I and CF Industries
Can any of the company-specific risk be diversified away by investing in both E I 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 E I and CF Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between E I du and CF Industries Holdings, you can compare the effects of market volatilities on E I 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 E I with a short position of CF Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of E I and CF Industries.
Diversification Opportunities for E I and CF Industries
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between CTA-PB and CF Industries is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding E I du 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 E I 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 E I du 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 E I i.e., E I and CF Industries go up and down completely randomly.
Pair Corralation between E I and CF Industries
Assuming the 90 days trading horizon E I du is expected to under-perform the CF Industries. But the preferred stock apears to be less risky and, when comparing its historical volatility, E I du is 1.47 times less risky than CF Industries. The preferred stock trades about -0.11 of its potential returns per unit of risk. The CF Industries Holdings is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 8,143 in CF Industries Holdings on August 27, 2024 and sell it today you would earn a total of 596.00 from holding CF Industries Holdings or generate 7.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
E I du vs. CF Industries Holdings
Performance |
| Timeline |
| E I du |
| CF Industries Holdings |
E I and CF Industries Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with E I and CF Industries
The main advantage of trading using opposite E I and CF Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if E I 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 E I du 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. Nutrien | CF Industries vs. Intrepid Potash | CF Industries vs. Corteva | CF Industries vs. ICL Israel Chemicals |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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