Correlation Between Sixt Leasing and Deutsche Bank
Can any of the company-specific risk be diversified away by investing in both Sixt Leasing and Deutsche Bank 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 Sixt Leasing and Deutsche Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sixt Leasing SE and Deutsche Bank Aktiengesellschaft, you can compare the effects of market volatilities on Sixt Leasing and Deutsche Bank 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 Sixt Leasing with a short position of Deutsche Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sixt Leasing and Deutsche Bank.
Diversification Opportunities for Sixt Leasing and Deutsche Bank
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Sixt and Deutsche is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Sixt Leasing SE and Deutsche Bank Aktiengesellscha in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Bank Aktien and Sixt Leasing 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 Sixt Leasing SE are associated (or correlated) with Deutsche Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Bank Aktien has no effect on the direction of Sixt Leasing i.e., Sixt Leasing and Deutsche Bank go up and down completely randomly.
Pair Corralation between Sixt Leasing and Deutsche Bank
Assuming the 90 days trading horizon Sixt Leasing is expected to generate 1.35 times less return on investment than Deutsche Bank. In addition to that, Sixt Leasing is 2.33 times more volatile than Deutsche Bank Aktiengesellschaft. It trades about 0.06 of its total potential returns per unit of risk. Deutsche Bank Aktiengesellschaft is currently generating about 0.18 per unit of volatility. If you would invest 2,153 in Deutsche Bank Aktiengesellschaft on April 24, 2025 and sell it today you would earn a total of 435.00 from holding Deutsche Bank Aktiengesellschaft or generate 20.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Sixt Leasing SE vs. Deutsche Bank Aktiengesellscha
Performance |
Timeline |
Sixt Leasing SE |
Deutsche Bank Aktien |
Sixt Leasing and Deutsche Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sixt Leasing and Deutsche Bank
The main advantage of trading using opposite Sixt Leasing and Deutsche Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sixt Leasing position performs unexpectedly, Deutsche Bank 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 Bank will offset losses from the drop in Deutsche Bank's long position.Sixt Leasing vs. FONIX MOBILE PLC | Sixt Leasing vs. Entravision Communications | Sixt Leasing vs. PTT Global Chemical | Sixt Leasing vs. ecotel communication ag |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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