Correlation Between Bank of America and Prudential Global
Can any of the company-specific risk be diversified away by investing in both Bank of America and Prudential Global 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 Prudential Global 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 Prudential Global Total, you can compare the effects of market volatilities on Bank of America and Prudential Global 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 Prudential Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Prudential Global.
Diversification Opportunities for Bank of America and Prudential Global
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Prudential is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Prudential Global Total in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prudential Global Total 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 Prudential Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prudential Global Total has no effect on the direction of Bank of America i.e., Bank of America and Prudential Global go up and down completely randomly.
Pair Corralation between Bank of America and Prudential Global
Considering the 90-day investment horizon Bank of America is expected to generate 6.05 times more return on investment than Prudential Global. However, Bank of America is 6.05 times more volatile than Prudential Global Total. It trades about 0.06 of its potential returns per unit of risk. Prudential Global Total is currently generating about 0.11 per unit of risk. If you would invest 3,113 in Bank of America on September 1, 2024 and sell it today you would earn a total of 1,638 from holding Bank of America or generate 52.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Bank of America vs. Prudential Global Total
Performance |
Timeline |
Bank of America |
Prudential Global Total |
Bank of America and Prudential Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Prudential Global
The main advantage of trading using opposite Bank of America and Prudential Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Prudential Global 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 Prudential Global will offset losses from the drop in Prudential Global's long position.Bank of America vs. Citigroup | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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