Correlation Between Bank of America and Amazon
Can any of the company-specific risk be diversified away by investing in both Bank of America and Amazon 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 Amazon 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 Amazon Inc, you can compare the effects of market volatilities on Bank of America and Amazon 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 Amazon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Amazon.
Diversification Opportunities for Bank of America and Amazon
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Amazon is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Amazon Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amazon Inc 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 Amazon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amazon Inc has no effect on the direction of Bank of America i.e., Bank of America and Amazon go up and down completely randomly.
Pair Corralation between Bank of America and Amazon
Considering the 90-day investment horizon Bank of America is expected to generate 1.2 times less return on investment than Amazon. But when comparing it to its historical volatility, Bank of America is 1.24 times less risky than Amazon. It trades about 0.17 of its potential returns per unit of risk. Amazon Inc is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 349,900 in Amazon Inc on August 31, 2024 and sell it today you would earn a total of 73,329 from holding Amazon Inc or generate 20.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 96.83% |
| Values | Daily Returns |
Bank of America vs. Amazon Inc
Performance |
| Timeline |
| Bank of America |
| Amazon Inc |
Bank of America and Amazon Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Amazon
The main advantage of trading using opposite Bank of America and Amazon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Amazon 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 Amazon will offset losses from the drop in Amazon's long position.| Bank of America vs. RLJ Lodging Trust | Bank of America vs. Aquagold International | Bank of America vs. Stepstone Group | Bank of America vs. Morningstar Unconstrained Allocation |
| Amazon vs. Samsung Electronics Co | Amazon vs. Martin Marietta Materials | Amazon vs. Taiwan Semiconductor Manufacturing | Amazon vs. United States Steel |
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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