Correlation Between United Rentals and Monarca Minerals
Can any of the company-specific risk be diversified away by investing in both United Rentals and Monarca Minerals 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 Monarca Minerals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Rentals and Monarca Minerals, you can compare the effects of market volatilities on United Rentals and Monarca Minerals 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 Monarca Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Rentals and Monarca Minerals.
Diversification Opportunities for United Rentals and Monarca Minerals
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between United and Monarca is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding United Rentals and Monarca Minerals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Monarca Minerals 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 Monarca Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Monarca Minerals has no effect on the direction of United Rentals i.e., United Rentals and Monarca Minerals go up and down completely randomly.
Pair Corralation between United Rentals and Monarca Minerals
Considering the 90-day investment horizon United Rentals is expected to generate 3.42 times less return on investment than Monarca Minerals. But when comparing it to its historical volatility, United Rentals is 7.76 times less risky than Monarca Minerals. It trades about 0.21 of its potential returns per unit of risk. Monarca Minerals is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 0.39 in Monarca Minerals on September 6, 2024 and sell it today you would earn a total of 0.10 from holding Monarca Minerals or generate 25.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United Rentals vs. Monarca Minerals
Performance |
Timeline |
United Rentals |
Monarca Minerals |
United Rentals and Monarca Minerals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Rentals and Monarca Minerals
The main advantage of trading using opposite United Rentals and Monarca Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Rentals position performs unexpectedly, Monarca Minerals 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 Monarca Minerals will offset losses from the drop in Monarca Minerals' 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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