Correlation Between Bank of America and Mfs Variable
Can any of the company-specific risk be diversified away by investing in both Bank of America and Mfs Variable 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 Mfs Variable 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 Mfs Variable Insurance, you can compare the effects of market volatilities on Bank of America and Mfs Variable 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 Mfs Variable. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Mfs Variable.
Diversification Opportunities for Bank of America and Mfs Variable
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bank and Mfs is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Mfs Variable Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Variable Insurance 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 Mfs Variable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Variable Insurance has no effect on the direction of Bank of America i.e., Bank of America and Mfs Variable go up and down completely randomly.
Pair Corralation between Bank of America and Mfs Variable
Considering the 90-day investment horizon Bank of America is expected to generate 1.84 times more return on investment than Mfs Variable. However, Bank of America is 1.84 times more volatile than Mfs Variable Insurance. It trades about 0.11 of its potential returns per unit of risk. Mfs Variable Insurance is currently generating about 0.18 per unit of risk. If you would invest 3,938 in Bank of America on August 30, 2024 and sell it today you would earn a total of 839.00 from holding Bank of America or generate 21.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Mfs Variable Insurance
Performance |
Timeline |
Bank of America |
Mfs Variable Insurance |
Bank of America and Mfs Variable Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Mfs Variable
The main advantage of trading using opposite Bank of America and Mfs Variable positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Mfs Variable 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 Mfs Variable will offset losses from the drop in Mfs Variable's long position.Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Royal Bank of | Bank of America vs. Nu Holdings |
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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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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