Correlation Between Bank of America and ETF Series
Can any of the company-specific risk be diversified away by investing in both Bank of America and ETF Series 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 ETF Series 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 ETF Series Solutions, you can compare the effects of market volatilities on Bank of America and ETF Series 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 ETF Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and ETF Series.
Diversification Opportunities for Bank of America and ETF Series
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and ETF is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and ETF Series Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ETF Series Solutions 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 ETF Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ETF Series Solutions has no effect on the direction of Bank of America i.e., Bank of America and ETF Series go up and down completely randomly.
Pair Corralation between Bank of America and ETF Series
Considering the 90-day investment horizon Bank of America is expected to generate 2.0 times more return on investment than ETF Series. However, Bank of America is 2.0 times more volatile than ETF Series Solutions. It trades about 0.04 of its potential returns per unit of risk. ETF Series Solutions is currently generating about 0.02 per unit of risk. If you would invest 4,238 in Bank of America on November 27, 2024 and sell it today you would earn a total of 156.00 from holding Bank of America or generate 3.68% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. ETF Series Solutions
Performance |
| Timeline |
| Bank of America |
| ETF Series Solutions |
Bank of America and ETF Series Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and ETF Series
The main advantage of trading using opposite Bank of America and ETF Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, ETF Series 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 ETF Series will offset losses from the drop in ETF Series' long position.| Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
| ETF Series vs. FT Vest Equity | ETF Series vs. Northern Lights | ETF Series vs. Dimensional International High | ETF Series vs. First Trust Exchange Traded |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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