Correlation Between Deutsche Bank and FLOW TRADERS
Can any of the company-specific risk be diversified away by investing in both Deutsche Bank and FLOW TRADERS 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 FLOW TRADERS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Bank Aktiengesellschaft and FLOW TRADERS LTD, you can compare the effects of market volatilities on Deutsche Bank and FLOW TRADERS 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 FLOW TRADERS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Bank and FLOW TRADERS.
Diversification Opportunities for Deutsche Bank and FLOW TRADERS
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Deutsche and FLOW is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Bank Aktiengesellscha and FLOW TRADERS LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FLOW TRADERS LTD 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 Aktiengesellschaft are associated (or correlated) with FLOW TRADERS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FLOW TRADERS LTD has no effect on the direction of Deutsche Bank i.e., Deutsche Bank and FLOW TRADERS go up and down completely randomly.
Pair Corralation between Deutsche Bank and FLOW TRADERS
Assuming the 90 days trading horizon Deutsche Bank Aktiengesellschaft is expected to generate 0.91 times more return on investment than FLOW TRADERS. However, Deutsche Bank Aktiengesellschaft is 1.09 times less risky than FLOW TRADERS. It trades about 0.26 of its potential returns per unit of risk. FLOW TRADERS LTD is currently generating about 0.17 per unit of risk. If you would invest 1,622 in Deutsche Bank Aktiengesellschaft on December 21, 2024 and sell it today you would earn a total of 603.00 from holding Deutsche Bank Aktiengesellschaft or generate 37.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Bank Aktiengesellscha vs. FLOW TRADERS LTD
Performance |
Timeline |
Deutsche Bank Aktien |
FLOW TRADERS LTD |
Deutsche Bank and FLOW TRADERS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Bank and FLOW TRADERS
The main advantage of trading using opposite Deutsche Bank and FLOW TRADERS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Bank position performs unexpectedly, FLOW TRADERS 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 FLOW TRADERS will offset losses from the drop in FLOW TRADERS's long position.Deutsche Bank vs. Comba Telecom Systems | Deutsche Bank vs. Gaztransport Technigaz SA | Deutsche Bank vs. ecotel communication ag | Deutsche Bank vs. Ribbon Communications |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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