Correlation Between Bank of America and Sumitomo Mitsui
Can any of the company-specific risk be diversified away by investing in both Bank of America and Sumitomo Mitsui 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 Sumitomo Mitsui 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 Sumitomo Mitsui Financial, you can compare the effects of market volatilities on Bank of America and Sumitomo Mitsui 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 Sumitomo Mitsui. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Sumitomo Mitsui.
Diversification Opportunities for Bank of America and Sumitomo Mitsui
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Sumitomo is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Sumitomo Mitsui Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Mitsui Financial 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 Sumitomo Mitsui. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumitomo Mitsui Financial has no effect on the direction of Bank of America i.e., Bank of America and Sumitomo Mitsui go up and down completely randomly.
Pair Corralation between Bank of America and Sumitomo Mitsui
Considering the 90-day investment horizon Bank of America is expected to generate 1.93 times less return on investment than Sumitomo Mitsui. But when comparing it to its historical volatility, Bank of America is 1.21 times less risky than Sumitomo Mitsui. It trades about 0.06 of its potential returns per unit of risk. Sumitomo Mitsui Financial is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 637.00 in Sumitomo Mitsui Financial on August 27, 2024 and sell it today you would earn a total of 790.00 from holding Sumitomo Mitsui Financial or generate 124.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Sumitomo Mitsui Financial
Performance |
Timeline |
Bank of America |
Sumitomo Mitsui Financial |
Bank of America and Sumitomo Mitsui Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Sumitomo Mitsui
The main advantage of trading using opposite Bank of America and Sumitomo Mitsui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Sumitomo Mitsui 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 Sumitomo Mitsui will offset losses from the drop in Sumitomo Mitsui's long position.Bank of America vs. Toronto Dominion Bank | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
Sumitomo Mitsui vs. Barclays PLC ADR | Sumitomo Mitsui vs. Mitsubishi UFJ Financial | Sumitomo Mitsui vs. ING Group NV | Sumitomo Mitsui vs. HSBC Holdings PLC |
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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Other Complementary Tools
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities |