Correlation Between Bank of America and IShares MSCI
Can any of the company-specific risk be diversified away by investing in both Bank of America and IShares MSCI 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 IShares MSCI 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 iShares MSCI Min, you can compare the effects of market volatilities on Bank of America and IShares MSCI 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 IShares MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and IShares MSCI.
Diversification Opportunities for Bank of America and IShares MSCI
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and IShares is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and iShares MSCI Min in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares MSCI Min 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 IShares MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares MSCI Min has no effect on the direction of Bank of America i.e., Bank of America and IShares MSCI go up and down completely randomly.
Pair Corralation between Bank of America and IShares MSCI
Considering the 90-day investment horizon Bank of America is expected to generate 3.63 times more return on investment than IShares MSCI. However, Bank of America is 3.63 times more volatile than iShares MSCI Min. It trades about 0.15 of its potential returns per unit of risk. iShares MSCI Min is currently generating about 0.2 per unit of risk. If you would invest 2,524 in Bank of America on August 29, 2024 and sell it today you would earn a total of 2,253 from holding Bank of America or generate 89.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.66% |
| Values | Daily Returns |
Bank of America vs. iShares MSCI Min
Performance |
| Timeline |
| Bank of America |
| iShares MSCI Min |
Bank of America and IShares MSCI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and IShares MSCI
The main advantage of trading using opposite Bank of America and IShares MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, IShares MSCI 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 IShares MSCI will offset losses from the drop in IShares MSCI'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. JPMorgan Chase Co |
| IShares MSCI vs. iShares MSCI Min | IShares MSCI vs. iShares MSCI Canada | IShares MSCI vs. iShares MSCI Min | IShares MSCI vs. iShares MSCI Min |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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