Correlation Between Bank of America and Doubleline Low
Can any of the company-specific risk be diversified away by investing in both Bank of America and Doubleline Low 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 Doubleline Low 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 Doubleline Low Duration, you can compare the effects of market volatilities on Bank of America and Doubleline Low 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 Doubleline Low. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Doubleline Low.
Diversification Opportunities for Bank of America and Doubleline Low
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Doubleline is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Doubleline Low Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Doubleline Low Duration 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 Doubleline Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Doubleline Low Duration has no effect on the direction of Bank of America i.e., Bank of America and Doubleline Low go up and down completely randomly.
Pair Corralation between Bank of America and Doubleline Low
Considering the 90-day investment horizon Bank of America is expected to under-perform the Doubleline Low. In addition to that, Bank of America is 25.18 times more volatile than Doubleline Low Duration. It trades about -0.05 of its total potential returns per unit of risk. Doubleline Low Duration is currently generating about 0.37 per unit of volatility. If you would invest 950.00 in Doubleline Low Duration on December 29, 2024 and sell it today you would earn a total of 14.00 from holding Doubleline Low Duration or generate 1.47% 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. Doubleline Low Duration
Performance |
Timeline |
Bank of America |
Doubleline Low Duration |
Bank of America and Doubleline Low Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Doubleline Low
The main advantage of trading using opposite Bank of America and Doubleline Low positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Doubleline Low 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 Doubleline Low will offset losses from the drop in Doubleline Low's long position.Bank of America vs. PJT Partners | Bank of America vs. National Bank Holdings | Bank of America vs. FB Financial Corp | Bank of America vs. Northrim BanCorp |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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