Correlation Between Bank of America and United Rentals
Can any of the company-specific risk be diversified away by investing in both Bank of America 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 Bank of America and United Rentals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of America and United Rentals, you can compare the effects of market volatilities on Bank of America 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 Bank of America with a short position of United Rentals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and United Rentals.
Diversification Opportunities for Bank of America and United Rentals
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and United is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and United Rentals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Rentals and Bank of America 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 Bank of America 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 Bank of America i.e., Bank of America and United Rentals go up and down completely randomly.
Pair Corralation between Bank of America and United Rentals
Assuming the 90 days trading horizon Bank of America is expected to generate 0.69 times more return on investment than United Rentals. However, Bank of America is 1.44 times less risky than United Rentals. It trades about -0.07 of its potential returns per unit of risk. United Rentals is currently generating about -0.36 per unit of risk. If you would invest 6,902 in Bank of America on September 24, 2024 and sell it today you would lose (147.00) from holding Bank of America or give up 2.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. United Rentals
Performance |
Timeline |
Bank of America |
United Rentals |
Bank of America and United Rentals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and United Rentals
The main advantage of trading using opposite Bank of America and United Rentals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America 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' long position.Bank of America vs. The Trade Desk | Bank of America vs. Teladoc Health | Bank of America vs. Tres Tentos Agroindustrial | Bank of America vs. Metalurgica Gerdau SA |
United Rentals vs. Localiza Rent a | United Rentals vs. Vamos Locao de | United Rentals vs. Movida Participaes SA | United Rentals vs. Gerdau SA |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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