Correlation Between Bank of AmericaPFD SER B and ANZ Group
Can any of the company-specific risk be diversified away by investing in both Bank of AmericaPFD SER B and ANZ Group 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 AmericaPFD SER B and ANZ Group 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 ANZ Group Holdings, you can compare the effects of market volatilities on Bank of AmericaPFD SER B and ANZ Group 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 AmericaPFD SER B with a short position of ANZ Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of AmericaPFD SER B and ANZ Group.
Diversification Opportunities for Bank of AmericaPFD SER B and ANZ Group
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bank and ANZ is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and ANZ Group Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ANZ Group Holdings and Bank of AmericaPFD SER B 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 ANZ Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ANZ Group Holdings has no effect on the direction of Bank of AmericaPFD SER B i.e., Bank of AmericaPFD SER B and ANZ Group go up and down completely randomly.
Pair Corralation between Bank of AmericaPFD SER B and ANZ Group
If you would invest 18,816 in Bank of America on September 3, 2024 and sell it today you would earn a total of 184.00 from holding Bank of America or generate 0.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 1.54% |
Values | Daily Returns |
Bank of America vs. ANZ Group Holdings
Performance |
Timeline |
Bank of AmericaPFD SER B |
ANZ Group Holdings |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bank of AmericaPFD SER B and ANZ Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of AmericaPFD SER B and ANZ Group
The main advantage of trading using opposite Bank of AmericaPFD SER B and ANZ Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of AmericaPFD SER B position performs unexpectedly, ANZ Group 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 ANZ Group will offset losses from the drop in ANZ Group's long position.The idea behind Bank of America and ANZ Group Holdings pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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