Correlation Between Bank of America and Inverse Sp
Can any of the company-specific risk be diversified away by investing in both Bank of America and Inverse Sp 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 Inverse Sp 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 Inverse Sp 500, you can compare the effects of market volatilities on Bank of America and Inverse Sp 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 Inverse Sp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Inverse Sp.
Diversification Opportunities for Bank of America and Inverse Sp
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Inverse is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Inverse Sp 500 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Sp 500 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 Inverse Sp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Sp 500 has no effect on the direction of Bank of America i.e., Bank of America and Inverse Sp go up and down completely randomly.
Pair Corralation between Bank of America and Inverse Sp
Considering the 90-day investment horizon Bank of America is expected to generate 1.92 times more return on investment than Inverse Sp. However, Bank of America is 1.92 times more volatile than Inverse Sp 500. It trades about 0.13 of its potential returns per unit of risk. Inverse Sp 500 is currently generating about -0.11 per unit of risk. If you would invest 3,025 in Bank of America on September 4, 2024 and sell it today you would earn a total of 1,679 from holding Bank of America or generate 55.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.6% |
| Values | Daily Returns |
Bank of America vs. Inverse Sp 500
Performance |
| Timeline |
| Bank of America |
| Inverse Sp 500 |
Bank of America and Inverse Sp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Inverse Sp
The main advantage of trading using opposite Bank of America and Inverse Sp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Inverse Sp 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 Inverse Sp will offset losses from the drop in Inverse Sp's long position.| Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. JPMorgan Chase Co | Bank of America vs. Aquagold International |
| Inverse Sp vs. Gmo High Yield | Inverse Sp vs. Rationalpier 88 Convertible | Inverse Sp vs. Calamos Dynamic Convertible | Inverse Sp vs. Ms Global Fixed |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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