Correlation Between SohuCom and CF Industries
Can any of the company-specific risk be diversified away by investing in both SohuCom 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 SohuCom and CF Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SohuCom and CF Industries Holdings, you can compare the effects of market volatilities on SohuCom 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 SohuCom with a short position of CF Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of SohuCom and CF Industries.
Diversification Opportunities for SohuCom and CF Industries
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between SohuCom and CF Industries is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding SohuCom 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 SohuCom 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 SohuCom 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 SohuCom i.e., SohuCom and CF Industries go up and down completely randomly.
Pair Corralation between SohuCom and CF Industries
Given the investment horizon of 90 days SohuCom is expected to under-perform the CF Industries. In addition to that, SohuCom is 1.53 times more volatile than CF Industries Holdings. It trades about -0.15 of its total potential returns per unit of risk. CF Industries Holdings is currently generating about 0.03 per unit of volatility. If you would invest 8,630 in CF Industries Holdings on October 8, 2024 and sell it today you would earn a total of 221.00 from holding CF Industries Holdings or generate 2.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SohuCom vs. CF Industries Holdings
Performance |
Timeline |
SohuCom |
CF Industries Holdings |
SohuCom and CF Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SohuCom and CF Industries
The main advantage of trading using opposite SohuCom and CF Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SohuCom 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.SohuCom vs. Snail, Class A | SohuCom vs. Playstudios | SohuCom vs. Playtika Holding Corp | SohuCom vs. Doubledown Interactive Co |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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