Correlation Between Digital Realty and UNITED RENTALS
Can any of the company-specific risk be diversified away by investing in both Digital Realty and UNITED RENTALS 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 Digital Realty and UNITED RENTALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Digital Realty Trust and UNITED RENTALS, you can compare the effects of market volatilities on Digital Realty and UNITED RENTALS 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 Digital Realty with a short position of UNITED RENTALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digital Realty and UNITED RENTALS.
Diversification Opportunities for Digital Realty and UNITED RENTALS
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Digital and UNITED is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Digital Realty Trust and UNITED RENTALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNITED RENTALS and Digital Realty 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 Digital Realty Trust are associated (or correlated) with UNITED RENTALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNITED RENTALS has no effect on the direction of Digital Realty i.e., Digital Realty and UNITED RENTALS go up and down completely randomly.
Pair Corralation between Digital Realty and UNITED RENTALS
Assuming the 90 days horizon Digital Realty is expected to generate 1.25 times less return on investment than UNITED RENTALS. But when comparing it to its historical volatility, Digital Realty Trust is 1.24 times less risky than UNITED RENTALS. It trades about 0.08 of its potential returns per unit of risk. UNITED RENTALS is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 32,076 in UNITED RENTALS on September 19, 2024 and sell it today you would earn a total of 39,764 from holding UNITED RENTALS or generate 123.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Digital Realty Trust vs. UNITED RENTALS
Performance |
Timeline |
Digital Realty Trust |
UNITED RENTALS |
Digital Realty and UNITED RENTALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digital Realty and UNITED RENTALS
The main advantage of trading using opposite Digital Realty and UNITED RENTALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digital Realty position performs unexpectedly, UNITED RENTALS 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 UNITED RENTALS will offset losses from the drop in UNITED RENTALS's long position.Digital Realty vs. KB HOME | Digital Realty vs. Natural Health Trends | Digital Realty vs. Taylor Morrison Home | Digital Realty vs. Haier Smart Home |
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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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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