Correlation Between CNH Industrial and Aberforth Smaller
Can any of the company-specific risk be diversified away by investing in both CNH Industrial and Aberforth Smaller 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 Aberforth Smaller 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 Aberforth Smaller Companies, you can compare the effects of market volatilities on CNH Industrial and Aberforth Smaller 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 Aberforth Smaller. Check out your portfolio center. Please also check ongoing floating volatility patterns of CNH Industrial and Aberforth Smaller.
Diversification Opportunities for CNH Industrial and Aberforth Smaller
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CNH and Aberforth is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding CNH Industrial NV and Aberforth Smaller Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aberforth Smaller 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 Aberforth Smaller. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aberforth Smaller has no effect on the direction of CNH Industrial i.e., CNH Industrial and Aberforth Smaller go up and down completely randomly.
Pair Corralation between CNH Industrial and Aberforth Smaller
Assuming the 90 days trading horizon CNH Industrial NV is expected to generate 3.6 times more return on investment than Aberforth Smaller. However, CNH Industrial is 3.6 times more volatile than Aberforth Smaller Companies. It trades about 0.03 of its potential returns per unit of risk. Aberforth Smaller Companies is currently generating about -0.11 per unit of risk. If you would invest 1,016 in CNH Industrial NV on October 10, 2024 and sell it today you would earn a total of 39.00 from holding CNH Industrial NV or generate 3.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CNH Industrial NV vs. Aberforth Smaller Companies
Performance |
Timeline |
CNH Industrial NV |
Aberforth Smaller |
CNH Industrial and Aberforth Smaller Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CNH Industrial and Aberforth Smaller
The main advantage of trading using opposite CNH Industrial and Aberforth Smaller positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CNH Industrial position performs unexpectedly, Aberforth Smaller 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 Aberforth Smaller will offset losses from the drop in Aberforth Smaller's long position.CNH Industrial vs. AcadeMedia AB | CNH Industrial vs. Prosiebensat 1 Media | CNH Industrial vs. Everyman Media Group | CNH Industrial vs. National Beverage Corp |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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