Correlation Between United Rentals and UnitedHealth Group
Can any of the company-specific risk be diversified away by investing in both United Rentals and UnitedHealth Group 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 United Rentals and UnitedHealth Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Rentals and UnitedHealth Group Incorporated, you can compare the effects of market volatilities on United Rentals and UnitedHealth Group 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 United Rentals with a short position of UnitedHealth Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Rentals and UnitedHealth Group.
Diversification Opportunities for United Rentals and UnitedHealth Group
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between United and UnitedHealth is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding United Rentals and UnitedHealth Group Incorporate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UnitedHealth Group and United Rentals 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 United Rentals are associated (or correlated) with UnitedHealth Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UnitedHealth Group has no effect on the direction of United Rentals i.e., United Rentals and UnitedHealth Group go up and down completely randomly.
Pair Corralation between United Rentals and UnitedHealth Group
Assuming the 90 days trading horizon United Rentals is expected to generate 1.22 times more return on investment than UnitedHealth Group. However, United Rentals is 1.22 times more volatile than UnitedHealth Group Incorporated. It trades about 0.04 of its potential returns per unit of risk. UnitedHealth Group Incorporated is currently generating about -0.01 per unit of risk. If you would invest 15,499 in United Rentals on November 4, 2024 and sell it today you would earn a total of 209.00 from holding United Rentals or generate 1.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
United Rentals vs. UnitedHealth Group Incorporate
Performance |
Timeline |
United Rentals |
UnitedHealth Group |
United Rentals and UnitedHealth Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Rentals and UnitedHealth Group
The main advantage of trading using opposite United Rentals and UnitedHealth Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Rentals position performs unexpectedly, UnitedHealth Group 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 UnitedHealth Group will offset losses from the drop in UnitedHealth Group's long position.United Rentals vs. Seagate Technology Holdings | United Rentals vs. Clover Health Investments, | United Rentals vs. TechnipFMC plc | United Rentals vs. Liberty Broadband |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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