Correlation Between United Rentals and Occidental Petroleum
Can any of the company-specific risk be diversified away by investing in both United Rentals and Occidental Petroleum 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 Occidental Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Rentals and Occidental Petroleum, you can compare the effects of market volatilities on United Rentals and Occidental Petroleum 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 Occidental Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Rentals and Occidental Petroleum.
Diversification Opportunities for United Rentals and Occidental Petroleum
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between United and Occidental is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding United Rentals and Occidental Petroleum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Occidental Petroleum 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 Occidental Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Occidental Petroleum has no effect on the direction of United Rentals i.e., United Rentals and Occidental Petroleum go up and down completely randomly.
Pair Corralation between United Rentals and Occidental Petroleum
Considering the 90-day investment horizon United Rentals is expected to generate 1.11 times more return on investment than Occidental Petroleum. However, United Rentals is 1.11 times more volatile than Occidental Petroleum. It trades about 0.1 of its potential returns per unit of risk. Occidental Petroleum is currently generating about 0.01 per unit of risk. If you would invest 71,129 in United Rentals on September 12, 2024 and sell it today you would earn a total of 8,568 from holding United Rentals or generate 12.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
United Rentals vs. Occidental Petroleum
Performance |
Timeline |
United Rentals |
Occidental Petroleum |
United Rentals and Occidental Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Rentals and Occidental Petroleum
The main advantage of trading using opposite United Rentals and Occidental Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Rentals position performs unexpectedly, Occidental Petroleum 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 Occidental Petroleum will offset losses from the drop in Occidental Petroleum'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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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