Correlation Between CF Industries and China Finance
Can any of the company-specific risk be diversified away by investing in both CF Industries and China Finance 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 China Finance 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 China Finance, you can compare the effects of market volatilities on CF Industries and China Finance 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 China Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of CF Industries and China Finance.
Diversification Opportunities for CF Industries and China Finance
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CF Industries and China is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding CF Industries Holdings and China Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Finance 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 China Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Finance has no effect on the direction of CF Industries i.e., CF Industries and China Finance go up and down completely randomly.
Pair Corralation between CF Industries and China Finance
If you would invest 7,863 in CF Industries Holdings on September 20, 2024 and sell it today you would earn a total of 559.00 from holding CF Industries Holdings or generate 7.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.2% |
Values | Daily Returns |
CF Industries Holdings vs. China Finance
Performance |
Timeline |
CF Industries Holdings |
China Finance |
CF Industries and China Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CF Industries and China Finance
The main advantage of trading using opposite CF Industries and China Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CF Industries position performs unexpectedly, China Finance 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 China Finance will offset losses from the drop in China Finance's long position.The idea behind CF Industries Holdings and China Finance 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.China Finance vs. Sensient Technologies | China Finance vs. NL Industries | China Finance vs. CF Industries Holdings | China Finance vs. STMicroelectronics NV ADR |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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