Correlation Between Bank of America and BetaShares Geared
Can any of the company-specific risk be diversified away by investing in both Bank of America and BetaShares Geared 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 BetaShares Geared 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 BetaShares Geared Equity, you can compare the effects of market volatilities on Bank of America and BetaShares Geared 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 BetaShares Geared. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and BetaShares Geared.
Diversification Opportunities for Bank of America and BetaShares Geared
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and BetaShares is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and BetaShares Geared Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BetaShares Geared Equity 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 BetaShares Geared. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BetaShares Geared Equity has no effect on the direction of Bank of America i.e., Bank of America and BetaShares Geared go up and down completely randomly.
Pair Corralation between Bank of America and BetaShares Geared
Considering the 90-day investment horizon Bank of America is expected to generate 1.11 times more return on investment than BetaShares Geared. However, Bank of America is 1.11 times more volatile than BetaShares Geared Equity. It trades about 0.22 of its potential returns per unit of risk. BetaShares Geared Equity is currently generating about 0.12 per unit of risk. If you would invest 4,265 in Bank of America on August 25, 2024 and sell it today you would earn a total of 435.00 from holding Bank of America or generate 10.2% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. BetaShares Geared Equity
Performance |
| Timeline |
| Bank of America |
| BetaShares Geared Equity |
Bank of America and BetaShares Geared Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and BetaShares Geared
The main advantage of trading using opposite Bank of America and BetaShares Geared positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, BetaShares Geared 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 BetaShares Geared will offset losses from the drop in BetaShares Geared's long position.| Bank of America vs. Toronto Dominion Bank | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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