Correlation Between Bank of America and Transamerica High
Can any of the company-specific risk be diversified away by investing in both Bank of America and Transamerica High 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 Transamerica High 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 Transamerica High Yield, you can compare the effects of market volatilities on Bank of America and Transamerica High 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 Transamerica High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Transamerica High.
Diversification Opportunities for Bank of America and Transamerica High
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bank and Transamerica is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Transamerica High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Transamerica High Yield 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 Transamerica High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Transamerica High Yield has no effect on the direction of Bank of America i.e., Bank of America and Transamerica High go up and down completely randomly.
Pair Corralation between Bank of America and Transamerica High
Considering the 90-day investment horizon Bank of America is expected to under-perform the Transamerica High. In addition to that, Bank of America is 7.16 times more volatile than Transamerica High Yield. It trades about -0.02 of its total potential returns per unit of risk. Transamerica High Yield is currently generating about 0.09 per unit of volatility. If you would invest 804.00 in Transamerica High Yield on December 22, 2024 and sell it today you would earn a total of 9.00 from holding Transamerica High Yield or generate 1.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Bank of America vs. Transamerica High Yield
Performance |
Timeline |
Bank of America |
Transamerica High Yield |
Bank of America and Transamerica High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Transamerica High
The main advantage of trading using opposite Bank of America and Transamerica High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Transamerica High 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 Transamerica High will offset losses from the drop in Transamerica High'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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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