Correlation Between Bank of America and Mfs Value
Can any of the company-specific risk be diversified away by investing in both Bank of America and Mfs Value 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 Value 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 Value Fund, you can compare the effects of market volatilities on Bank of America and Mfs Value 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 Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Mfs Value.
Diversification Opportunities for Bank of America and Mfs Value
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Mfs is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Mfs Value Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Value Fund 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 Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Value Fund has no effect on the direction of Bank of America i.e., Bank of America and Mfs Value go up and down completely randomly.
Pair Corralation between Bank of America and Mfs Value
Considering the 90-day investment horizon Bank of America is expected to generate 2.37 times more return on investment than Mfs Value. However, Bank of America is 2.37 times more volatile than Mfs Value Fund. It trades about 0.05 of its potential returns per unit of risk. Mfs Value Fund is currently generating about 0.08 per unit of risk. If you would invest 3,397 in Bank of America on September 1, 2024 and sell it today you would earn a total of 1,354 from holding Bank of America or generate 39.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.78% |
| Values | Daily Returns |
Bank of America vs. Mfs Value Fund
Performance |
| Timeline |
| Bank of America |
| Mfs Value Fund |
Bank of America and Mfs Value Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Mfs Value
The main advantage of trading using opposite Bank of America and Mfs Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Mfs Value 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 Value will offset losses from the drop in Mfs Value'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 |
| Mfs Value vs. Davis Financial Fund | Mfs Value vs. Davis Financial Fund | Mfs Value vs. Prudential Jennison Financial | Mfs Value vs. John Hancock Financial |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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