Correlation Between ING Group and Bank of America
Can any of the company-specific risk be diversified away by investing in both ING Group 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 ING Group 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 ING Group NV and Bank of America, you can compare the effects of market volatilities on ING Group 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 ING Group with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of ING Group and Bank of America.
Diversification Opportunities for ING Group and Bank of America
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ING and Bank is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding ING Group NV 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 ING Group 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 ING Group NV 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 ING Group i.e., ING Group and Bank of America go up and down completely randomly.
Pair Corralation between ING Group and Bank of America
Considering the 90-day investment horizon ING Group NV is expected to under-perform the Bank of America. In addition to that, ING Group is 2.43 times more volatile than Bank of America. It trades about -0.38 of its total potential returns per unit of risk. Bank of America is currently generating about 0.02 per unit of volatility. If you would invest 2,413 in Bank of America on August 27, 2024 and sell it today you would earn a total of 6.00 from holding Bank of America or generate 0.25% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
ING Group NV vs. Bank of America
Performance |
| Timeline |
| ING Group NV |
| Bank of America |
ING Group and Bank of America Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ING Group and Bank of America
The main advantage of trading using opposite ING Group and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ING Group 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.| ING Group vs. Natwest Group PLC | ING Group vs. HSBC Holdings PLC | ING Group vs. Banco Santander SA | ING Group vs. UBS Group AG |
| Bank of America vs. Bank of America | Bank of America vs. Wells Fargo | Bank of America vs. Bank of America | Bank of America vs. China Construction Bank |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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