Correlation Between Walgreens Boots and Bank of America
Can any of the company-specific risk be diversified away by investing in both Walgreens Boots 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 Walgreens Boots 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 Walgreens Boots Alliance and Verizon Communications, you can compare the effects of market volatilities on Walgreens Boots 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 Walgreens Boots with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walgreens Boots and Bank of America.
Diversification Opportunities for Walgreens Boots and Bank of America
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Walgreens and Bank is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Walgreens Boots Alliance and Verizon Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verizon Communications and Walgreens Boots 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 Walgreens Boots Alliance 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 Walgreens Boots i.e., Walgreens Boots and Bank of America go up and down completely randomly.
Pair Corralation between Walgreens Boots and Bank of America
Assuming the 90 days horizon Walgreens Boots Alliance is expected to generate 2.73 times more return on investment than Bank of America. However, Walgreens Boots is 2.73 times more volatile than Verizon Communications. It trades about 0.06 of its potential returns per unit of risk. Verizon Communications is currently generating about 0.06 per unit of risk. If you would invest 776.00 in Walgreens Boots Alliance on September 11, 2024 and sell it today you would earn a total of 76.00 from holding Walgreens Boots Alliance or generate 9.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Walgreens Boots Alliance vs. Verizon Communications
Performance |
Timeline |
Walgreens Boots Alliance |
Verizon Communications |
Walgreens Boots and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walgreens Boots and Bank of America
The main advantage of trading using opposite Walgreens Boots and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walgreens Boots 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.Walgreens Boots vs. SENECA FOODS A | Walgreens Boots vs. MOLSON RS BEVERAGE | Walgreens Boots vs. SCANDMEDICAL SOLDK 040 | Walgreens Boots vs. Microbot Medical |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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