Correlation Between United Rentals and Tropical Canning
Can any of the company-specific risk be diversified away by investing in both United Rentals and Tropical Canning 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 Tropical Canning into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Rentals and Tropical Canning Public, you can compare the effects of market volatilities on United Rentals and Tropical Canning 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 Tropical Canning. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Rentals and Tropical Canning.
Diversification Opportunities for United Rentals and Tropical Canning
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between United and Tropical is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding United Rentals and Tropical Canning Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tropical Canning Public 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 Tropical Canning. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tropical Canning Public has no effect on the direction of United Rentals i.e., United Rentals and Tropical Canning go up and down completely randomly.
Pair Corralation between United Rentals and Tropical Canning
Considering the 90-day investment horizon United Rentals is expected to generate 1.13 times more return on investment than Tropical Canning. However, United Rentals is 1.13 times more volatile than Tropical Canning Public. It trades about 0.18 of its potential returns per unit of risk. Tropical Canning Public is currently generating about -0.08 per unit of risk. If you would invest 69,926 in United Rentals on September 4, 2024 and sell it today you would earn a total of 15,779 from holding United Rentals or generate 22.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
United Rentals vs. Tropical Canning Public
Performance |
Timeline |
United Rentals |
Tropical Canning Public |
United Rentals and Tropical Canning Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Rentals and Tropical Canning
The main advantage of trading using opposite United Rentals and Tropical Canning positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Rentals position performs unexpectedly, Tropical Canning 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 Tropical Canning will offset losses from the drop in Tropical Canning'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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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