Correlation Between ING Groep and Bank of AmericaPFD SER B
Can any of the company-specific risk be diversified away by investing in both ING Groep and Bank of AmericaPFD SER B 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 Groep and Bank of AmericaPFD SER B into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ING Groep NV and Bank of America, you can compare the effects of market volatilities on ING Groep and Bank of AmericaPFD SER B 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 Groep with a short position of Bank of AmericaPFD SER B . Check out your portfolio center. Please also check ongoing floating volatility patterns of ING Groep and Bank of AmericaPFD SER B .
Diversification Opportunities for ING Groep and Bank of AmericaPFD SER B
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ING and Bank is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding ING Groep NV and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of AmericaPFD SER B and ING Groep 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 Groep NV are associated (or correlated) with Bank of AmericaPFD SER B . 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 AmericaPFD SER B has no effect on the direction of ING Groep i.e., ING Groep and Bank of AmericaPFD SER B go up and down completely randomly.
Pair Corralation between ING Groep and Bank of AmericaPFD SER B
Assuming the 90 days horizon ING Groep NV is expected to under-perform the Bank of AmericaPFD SER B . But the pink sheet apears to be less risky and, when comparing its historical volatility, ING Groep NV is 1.68 times less risky than Bank of AmericaPFD SER B . The pink sheet trades about -0.15 of its potential returns per unit of risk. The Bank of America is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 18,816 in Bank of America on September 4, 2024 and sell it today you would earn a total of 184.00 from holding Bank of America or generate 0.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
ING Groep NV vs. Bank of America
Performance |
Timeline |
ING Groep NV |
Bank of AmericaPFD SER B |
ING Groep and Bank of AmericaPFD SER B Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ING Groep and Bank of AmericaPFD SER B
The main advantage of trading using opposite ING Groep and Bank of AmericaPFD SER B positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ING Groep position performs unexpectedly, Bank of AmericaPFD SER B 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 AmericaPFD SER B will offset losses from the drop in Bank of AmericaPFD SER B 's long position.ING Groep vs. Bank of America | ING Groep vs. Citigroup | ING Groep vs. Wells Fargo | ING Groep vs. Toronto Dominion 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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