Correlation Between Bank of America and Principal Exchange
Can any of the company-specific risk be diversified away by investing in both Bank of America and Principal Exchange 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 Principal Exchange 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 Principal Exchange Traded Funds, you can compare the effects of market volatilities on Bank of America and Principal Exchange 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 Principal Exchange. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Principal Exchange.
Diversification Opportunities for Bank of America and Principal Exchange
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Principal is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Principal Exchange Traded Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Principal Exchange 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 Principal Exchange. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Principal Exchange has no effect on the direction of Bank of America i.e., Bank of America and Principal Exchange go up and down completely randomly.
Pair Corralation between Bank of America and Principal Exchange
Considering the 90-day investment horizon Bank of America is expected to under-perform the Principal Exchange. In addition to that, Bank of America is 1.56 times more volatile than Principal Exchange Traded Funds. It trades about -0.05 of its total potential returns per unit of risk. Principal Exchange Traded Funds is currently generating about 0.07 per unit of volatility. If you would invest 2,431 in Principal Exchange Traded Funds on December 30, 2024 and sell it today you would earn a total of 105.00 from holding Principal Exchange Traded Funds or generate 4.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Principal Exchange Traded Fund
Performance |
Timeline |
Bank of America |
Principal Exchange |
Risk-Adjusted Performance
Modest
Weak | Strong |
Bank of America and Principal Exchange Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Principal Exchange
The main advantage of trading using opposite Bank of America and Principal Exchange positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Principal Exchange 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 Principal Exchange will offset losses from the drop in Principal Exchange's 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 |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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