Correlation Between Cresud SACIF and Deutsche Bank
Can any of the company-specific risk be diversified away by investing in both Cresud SACIF 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 Cresud SACIF and Deutsche Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cresud SACIF y and Deutsche Bank Aktiengesellschaft, you can compare the effects of market volatilities on Cresud SACIF 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 Cresud SACIF with a short position of Deutsche Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cresud SACIF and Deutsche Bank.
Diversification Opportunities for Cresud SACIF and Deutsche Bank
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Cresud and Deutsche is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Cresud SACIF y 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 Cresud SACIF 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 Cresud SACIF y 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 Cresud SACIF i.e., Cresud SACIF and Deutsche Bank go up and down completely randomly.
Pair Corralation between Cresud SACIF and Deutsche Bank
Assuming the 90 days horizon Cresud SACIF y is expected to under-perform the Deutsche Bank. In addition to that, Cresud SACIF is 2.42 times more volatile than Deutsche Bank Aktiengesellschaft. It trades about -0.07 of its total potential returns per unit of risk. Deutsche Bank Aktiengesellschaft is currently generating about 0.03 per unit of volatility. If you would invest 1,673 in Deutsche Bank Aktiengesellschaft on October 4, 2024 and sell it today you would earn a total of 8.00 from holding Deutsche Bank Aktiengesellschaft or generate 0.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 86.36% |
Values | Daily Returns |
Cresud SACIF y vs. Deutsche Bank Aktiengesellscha
Performance |
Timeline |
Cresud SACIF y |
Deutsche Bank Aktien |
Cresud SACIF and Deutsche Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cresud SACIF and Deutsche Bank
The main advantage of trading using opposite Cresud SACIF and Deutsche Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cresud SACIF 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.Cresud SACIF vs. Griffon | Cresud SACIF vs. Matthews International | Cresud SACIF vs. Valmont Industries | Cresud SACIF vs. Steel Partners Holdings |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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