Correlation Between Uber Technologies and Bank of America
Can any of the company-specific risk be diversified away by investing in both Uber Technologies and Bank of America 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 Uber Technologies and Bank of America into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and Verizon Communications, you can compare the effects of market volatilities on Uber Technologies and Bank of America 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 Uber Technologies with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and Bank of America.
Diversification Opportunities for Uber Technologies and Bank of America
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Uber and Bank is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and Verizon Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verizon Communications and Uber Technologies 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 Uber Technologies are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Verizon Communications has no effect on the direction of Uber Technologies i.e., Uber Technologies and Bank of America go up and down completely randomly.
Pair Corralation between Uber Technologies and Bank of America
Assuming the 90 days trading horizon Uber Technologies is expected to generate 1.54 times more return on investment than Bank of America. However, Uber Technologies is 1.54 times more volatile than Verizon Communications. It trades about 0.1 of its potential returns per unit of risk. Verizon Communications is currently generating about 0.07 per unit of risk. If you would invest 5,918 in Uber Technologies on December 21, 2024 and sell it today you would earn a total of 960.00 from holding Uber Technologies or generate 16.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Uber Technologies vs. Verizon Communications
Performance |
Timeline |
Uber Technologies |
Verizon Communications |
Uber Technologies and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uber Technologies and Bank of America
The main advantage of trading using opposite Uber Technologies and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, Bank of America 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 Bank of America will offset losses from the drop in Bank of America's long position.Uber Technologies vs. REVO INSURANCE SPA | Uber Technologies vs. COREBRIDGE FINANCIAL INC | Uber Technologies vs. The Hanover Insurance | Uber Technologies vs. American Airlines 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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