Correlation Between CNH Industrial and United Insurance
Can any of the company-specific risk be diversified away by investing in both CNH Industrial and United Insurance 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 CNH Industrial and United Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CNH Industrial NV and United Insurance Holdings, you can compare the effects of market volatilities on CNH Industrial and United Insurance 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 CNH Industrial with a short position of United Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of CNH Industrial and United Insurance.
Diversification Opportunities for CNH Industrial and United Insurance
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between CNH and United is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding CNH Industrial NV and United Insurance Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Insurance Holdings and CNH Industrial 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 CNH Industrial NV are associated (or correlated) with United Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Insurance Holdings has no effect on the direction of CNH Industrial i.e., CNH Industrial and United Insurance go up and down completely randomly.
Pair Corralation between CNH Industrial and United Insurance
Assuming the 90 days horizon CNH Industrial NV is expected to generate 1.21 times more return on investment than United Insurance. However, CNH Industrial is 1.21 times more volatile than United Insurance Holdings. It trades about 0.05 of its potential returns per unit of risk. United Insurance Holdings is currently generating about -0.1 per unit of risk. If you would invest 1,083 in CNH Industrial NV on December 27, 2024 and sell it today you would earn a total of 66.00 from holding CNH Industrial NV or generate 6.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
CNH Industrial NV vs. United Insurance Holdings
Performance |
Timeline |
CNH Industrial NV |
United Insurance Holdings |
CNH Industrial and United Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CNH Industrial and United Insurance
The main advantage of trading using opposite CNH Industrial and United Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CNH Industrial position performs unexpectedly, United Insurance 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 United Insurance will offset losses from the drop in United Insurance's long position.CNH Industrial vs. KAUFMAN ET BROAD | CNH Industrial vs. Wyndham Hotels Resorts | CNH Industrial vs. NAGOYA RAILROAD | CNH Industrial vs. InterContinental Hotels Group |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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