Correlation Between Deutsche Bank and Cactus Acquisition
Can any of the company-specific risk be diversified away by investing in both Deutsche Bank and Cactus Acquisition 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 Cactus Acquisition 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 Cactus Acquisition Corp, you can compare the effects of market volatilities on Deutsche Bank and Cactus Acquisition 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 Cactus Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Bank and Cactus Acquisition.
Diversification Opportunities for Deutsche Bank and Cactus Acquisition
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Deutsche and Cactus is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Bank AG and Cactus Acquisition Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cactus Acquisition Corp 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 Cactus Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cactus Acquisition Corp has no effect on the direction of Deutsche Bank i.e., Deutsche Bank and Cactus Acquisition go up and down completely randomly.
Pair Corralation between Deutsche Bank and Cactus Acquisition
Allowing for the 90-day total investment horizon Deutsche Bank AG is expected to generate 1.41 times more return on investment than Cactus Acquisition. However, Deutsche Bank is 1.41 times more volatile than Cactus Acquisition Corp. It trades about 0.06 of its potential returns per unit of risk. Cactus Acquisition Corp is currently generating about 0.02 per unit of risk. If you would invest 1,077 in Deutsche Bank AG on September 19, 2024 and sell it today you would earn a total of 694.00 from holding Deutsche Bank AG or generate 64.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Bank AG vs. Cactus Acquisition Corp
Performance |
Timeline |
Deutsche Bank AG |
Cactus Acquisition Corp |
Deutsche Bank and Cactus Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Bank and Cactus Acquisition
The main advantage of trading using opposite Deutsche Bank and Cactus Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Bank position performs unexpectedly, Cactus Acquisition 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 Cactus Acquisition will offset losses from the drop in Cactus Acquisition'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 |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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