Correlation Between CF Industries and Jiangsu Expressway
Can any of the company-specific risk be diversified away by investing in both CF Industries and Jiangsu Expressway 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 Jiangsu Expressway 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 Jiangsu Expressway, you can compare the effects of market volatilities on CF Industries and Jiangsu Expressway 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 Jiangsu Expressway. Check out your portfolio center. Please also check ongoing floating volatility patterns of CF Industries and Jiangsu Expressway.
Diversification Opportunities for CF Industries and Jiangsu Expressway
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between CF Industries and Jiangsu is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding CF Industries Holdings and Jiangsu Expressway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangsu Expressway 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 Jiangsu Expressway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangsu Expressway has no effect on the direction of CF Industries i.e., CF Industries and Jiangsu Expressway go up and down completely randomly.
Pair Corralation between CF Industries and Jiangsu Expressway
Allowing for the 90-day total investment horizon CF Industries Holdings is expected to generate 0.9 times more return on investment than Jiangsu Expressway. However, CF Industries Holdings is 1.11 times less risky than Jiangsu Expressway. It trades about 0.07 of its potential returns per unit of risk. Jiangsu Expressway is currently generating about 0.03 per unit of risk. If you would invest 8,143 in CF Industries Holdings on October 27, 2024 and sell it today you would earn a total of 667.00 from holding CF Industries Holdings or generate 8.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CF Industries Holdings vs. Jiangsu Expressway
Performance |
Timeline |
CF Industries Holdings |
Jiangsu Expressway |
CF Industries and Jiangsu Expressway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CF Industries and Jiangsu Expressway
The main advantage of trading using opposite CF Industries and Jiangsu Expressway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CF Industries position performs unexpectedly, Jiangsu Expressway 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 Jiangsu Expressway will offset losses from the drop in Jiangsu Expressway's long position.CF Industries vs. Nutrien | CF Industries vs. Intrepid Potash | CF Industries vs. Corteva | CF Industries vs. ICL Israel Chemicals |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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