Correlation Between Deutsche Bank and Apollo Global
Can any of the company-specific risk be diversified away by investing in both Deutsche Bank and Apollo Global 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 Deutsche Bank and Apollo Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Bank AG and Apollo Global Management, you can compare the effects of market volatilities on Deutsche Bank and Apollo Global 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 Deutsche Bank with a short position of Apollo Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Bank and Apollo Global.
Diversification Opportunities for Deutsche Bank and Apollo Global
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Deutsche and Apollo is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Bank AG and Apollo Global Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Apollo Global Management and Deutsche Bank 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 Deutsche Bank AG are associated (or correlated) with Apollo Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Apollo Global Management has no effect on the direction of Deutsche Bank i.e., Deutsche Bank and Apollo Global go up and down completely randomly.
Pair Corralation between Deutsche Bank and Apollo Global
Allowing for the 90-day total investment horizon Deutsche Bank is expected to generate 4.07 times less return on investment than Apollo Global. But when comparing it to its historical volatility, Deutsche Bank AG is 1.05 times less risky than Apollo Global. It trades about 0.03 of its potential returns per unit of risk. Apollo Global Management is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 16,289 in Apollo Global Management on September 21, 2024 and sell it today you would earn a total of 814.00 from holding Apollo Global Management or generate 5.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Bank AG vs. Apollo Global Management
Performance |
Timeline |
Deutsche Bank AG |
Apollo Global Management |
Deutsche Bank and Apollo Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Bank and Apollo Global
The main advantage of trading using opposite Deutsche Bank and Apollo Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Bank position performs unexpectedly, Apollo Global 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 Apollo Global will offset losses from the drop in Apollo Global's long position.Deutsche Bank vs. Banco Bradesco SA | Deutsche Bank vs. Itau Unibanco Banco | Deutsche Bank vs. Banco Santander Brasil | Deutsche Bank vs. Western Alliance Bancorporation |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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