Correlation Between United Rentals and Mitsubishi Estate
Can any of the company-specific risk be diversified away by investing in both United Rentals and Mitsubishi Estate 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 Mitsubishi Estate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Rentals and Mitsubishi Estate Co, you can compare the effects of market volatilities on United Rentals and Mitsubishi Estate 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 Mitsubishi Estate. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Rentals and Mitsubishi Estate.
Diversification Opportunities for United Rentals and Mitsubishi Estate
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between United and Mitsubishi is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding United Rentals and Mitsubishi Estate Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsubishi Estate 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 Mitsubishi Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsubishi Estate has no effect on the direction of United Rentals i.e., United Rentals and Mitsubishi Estate go up and down completely randomly.
Pair Corralation between United Rentals and Mitsubishi Estate
Considering the 90-day investment horizon United Rentals is expected to under-perform the Mitsubishi Estate. In addition to that, United Rentals is 1.1 times more volatile than Mitsubishi Estate Co. It trades about -0.05 of its total potential returns per unit of risk. Mitsubishi Estate Co is currently generating about 0.17 per unit of volatility. If you would invest 1,354 in Mitsubishi Estate Co on December 29, 2024 and sell it today you would earn a total of 304.00 from holding Mitsubishi Estate Co or generate 22.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United Rentals vs. Mitsubishi Estate Co
Performance |
Timeline |
United Rentals |
Mitsubishi Estate |
United Rentals and Mitsubishi Estate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Rentals and Mitsubishi Estate
The main advantage of trading using opposite United Rentals and Mitsubishi Estate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Rentals position performs unexpectedly, Mitsubishi Estate 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 Mitsubishi Estate will offset losses from the drop in Mitsubishi Estate's long position.United Rentals vs. HE Equipment Services | United Rentals vs. GATX Corporation | United Rentals vs. McGrath RentCorp | United Rentals vs. Alta Equipment 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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