Correlation Between Bank of America and Hoteles City
Can any of the company-specific risk be diversified away by investing in both Bank of America and Hoteles City 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 Hoteles City 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 Hoteles City Express, you can compare the effects of market volatilities on Bank of America and Hoteles City 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 Hoteles City. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Hoteles City.
Diversification Opportunities for Bank of America and Hoteles City
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and Hoteles is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Hoteles City Express in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hoteles City Express 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 Hoteles City. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hoteles City Express has no effect on the direction of Bank of America i.e., Bank of America and Hoteles City go up and down completely randomly.
Pair Corralation between Bank of America and Hoteles City
Considering the 90-day investment horizon Bank of America is expected to generate 0.69 times more return on investment than Hoteles City. However, Bank of America is 1.45 times less risky than Hoteles City. It trades about 0.11 of its potential returns per unit of risk. Hoteles City Express is currently generating about -0.05 per unit of risk. If you would invest 2,806 in Bank of America on August 28, 2024 and sell it today you would earn a total of 1,944 from holding Bank of America or generate 69.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 99.44% |
| Values | Daily Returns |
Bank of America vs. Hoteles City Express
Performance |
| Timeline |
| Bank of America |
| Hoteles City Express |
Bank of America and Hoteles City Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Hoteles City
The main advantage of trading using opposite Bank of America and Hoteles City positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Hoteles City 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 Hoteles City will offset losses from the drop in Hoteles City's long position.| Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Nova |
| Hoteles City vs. Controladora Vuela Compaa | Hoteles City vs. Alsea SAB de | Hoteles City vs. Nemak S A | Hoteles City vs. Grupo Comercial Chedraui |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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