Correlation Between CF Industries and Tarena International
Can any of the company-specific risk be diversified away by investing in both CF Industries and Tarena International 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 Tarena International 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 Tarena International, you can compare the effects of market volatilities on CF Industries and Tarena International 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 Tarena International. Check out your portfolio center. Please also check ongoing floating volatility patterns of CF Industries and Tarena International.
Diversification Opportunities for CF Industries and Tarena International
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between CF Industries and Tarena is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding CF Industries Holdings and Tarena International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tarena International 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 Tarena International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tarena International has no effect on the direction of CF Industries i.e., CF Industries and Tarena International go up and down completely randomly.
Pair Corralation between CF Industries and Tarena International
Allowing for the 90-day total investment horizon CF Industries Holdings is expected to generate 0.23 times more return on investment than Tarena International. However, CF Industries Holdings is 4.34 times less risky than Tarena International. It trades about 0.06 of its potential returns per unit of risk. Tarena International is currently generating about -0.01 per unit of risk. If you would invest 7,957 in CF Industries Holdings on September 1, 2024 and sell it today you would earn a total of 1,009 from holding CF Industries Holdings or generate 12.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CF Industries Holdings vs. Tarena International
Performance |
Timeline |
CF Industries Holdings |
Tarena International |
CF Industries and Tarena International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CF Industries and Tarena International
The main advantage of trading using opposite CF Industries and Tarena International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CF Industries position performs unexpectedly, Tarena International 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 Tarena International will offset losses from the drop in Tarena International'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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