Correlation Between Scottish Mortgage and Bank of America
Can any of the company-specific risk be diversified away by investing in both Scottish Mortgage and Bank of America 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 Scottish Mortgage and Bank of America into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scottish Mortgage Investment and Bank of America, you can compare the effects of market volatilities on Scottish Mortgage and Bank of America 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 Scottish Mortgage with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scottish Mortgage and Bank of America.
Diversification Opportunities for Scottish Mortgage and Bank of America
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Scottish and Bank is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Scottish Mortgage Investment and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of America and Scottish Mortgage 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 Scottish Mortgage Investment are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of America has no effect on the direction of Scottish Mortgage i.e., Scottish Mortgage and Bank of America go up and down completely randomly.
Pair Corralation between Scottish Mortgage and Bank of America
Assuming the 90 days horizon Scottish Mortgage Investment is expected to generate 4.29 times more return on investment than Bank of America. However, Scottish Mortgage is 4.29 times more volatile than Bank of America. It trades about -0.04 of its potential returns per unit of risk. Bank of America is currently generating about -0.3 per unit of risk. If you would invest 1,262 in Scottish Mortgage Investment on October 8, 2024 and sell it today you would lose (27.00) from holding Scottish Mortgage Investment or give up 2.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Scottish Mortgage Investment vs. Bank of America
Performance |
Timeline |
Scottish Mortgage |
Bank of America |
Scottish Mortgage and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scottish Mortgage and Bank of America
The main advantage of trading using opposite Scottish Mortgage and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scottish Mortgage position performs unexpectedly, Bank of America 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 Bank of America will offset losses from the drop in Bank of America's long position.Scottish Mortgage vs. Prudential plc | Scottish Mortgage vs. Segro Plc | Scottish Mortgage vs. 3i Group plc | Scottish Mortgage vs. Entain Plc |
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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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