Correlation Between DAX Index and Bank of America
Specify exactly 2 symbols:
By analyzing existing cross correlation between DAX Index and Bank of America, you can compare the effects of market volatilities on DAX Index 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 DAX Index with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Bank of America.
Diversification Opportunities for DAX Index and Bank of America
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between DAX and Bank is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index 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 DAX Index 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 DAX Index 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 DAX Index i.e., DAX Index and Bank of America go up and down completely randomly.
Pair Corralation between DAX Index and Bank of America
Assuming the 90 days trading horizon DAX Index is expected to generate 0.61 times more return on investment than Bank of America. However, DAX Index is 1.65 times less risky than Bank of America. It trades about 0.17 of its potential returns per unit of risk. Bank of America is currently generating about -0.04 per unit of risk. If you would invest 1,990,914 in DAX Index on December 29, 2024 and sell it today you would earn a total of 255,238 from holding DAX Index or generate 12.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DAX Index vs. Bank of America
Performance |
Timeline |
DAX Index and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
DAX Index
Pair trading matchups for DAX Index
Bank of America
Pair trading matchups for Bank of America
Pair Trading with DAX Index and Bank of America
The main advantage of trading using opposite DAX Index and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index 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.DAX Index vs. SIDETRADE EO 1 | DAX Index vs. National Retail Properties | DAX Index vs. TOMBADOR IRON LTD | DAX Index vs. CALTAGIRONE EDITORE |
Bank of America vs. Titan Machinery | Bank of America vs. DAIRY FARM INTL | Bank of America vs. Plastic Omnium | Bank of America vs. Applied Materials |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Complementary Tools
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Stocks Directory Find actively traded stocks across global markets | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |