Correlation Between Bank of America and Deutsche Post
Can any of the company-specific risk be diversified away by investing in both Bank of America and Deutsche Post 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 Deutsche Post 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 Deutsche Post AG, you can compare the effects of market volatilities on Bank of America and Deutsche Post 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 Deutsche Post. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Deutsche Post.
Diversification Opportunities for Bank of America and Deutsche Post
-0.92 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Deutsche is -0.92. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Deutsche Post AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Post AG 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 Deutsche Post. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Post AG has no effect on the direction of Bank of America i.e., Bank of America and Deutsche Post go up and down completely randomly.
Pair Corralation between Bank of America and Deutsche Post
Considering the 90-day investment horizon Bank of America is expected to generate 1.11 times more return on investment than Deutsche Post. However, Bank of America is 1.11 times more volatile than Deutsche Post AG. It trades about 0.11 of its potential returns per unit of risk. Deutsche Post AG is currently generating about -0.02 per unit of risk. If you would invest 2,650 in Bank of America on August 30, 2024 and sell it today you would earn a total of 2,127 from holding Bank of America or generate 80.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 99.24% |
| Values | Daily Returns |
Bank of America vs. Deutsche Post AG
Performance |
| Timeline |
| Bank of America |
| Deutsche Post AG |
Bank of America and Deutsche Post Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Deutsche Post
The main advantage of trading using opposite Bank of America and Deutsche Post positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Deutsche Post 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 Deutsche Post will offset losses from the drop in Deutsche Post's long position.| Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. JPMorgan Chase Co |
| Deutsche Post vs. Lendinvest PLC | Deutsche Post vs. Neometals | Deutsche Post vs. Albion Technology General | Deutsche Post vs. Jupiter Fund Management |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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