Correlation Between Deutsche Bank and TYSNES SPAREBANK
Can any of the company-specific risk be diversified away by investing in both Deutsche Bank and TYSNES SPAREBANK 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 TYSNES SPAREBANK 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 TYSNES SPAREBANK NK, you can compare the effects of market volatilities on Deutsche Bank and TYSNES SPAREBANK 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 TYSNES SPAREBANK. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Bank and TYSNES SPAREBANK.
Diversification Opportunities for Deutsche Bank and TYSNES SPAREBANK
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Deutsche and TYSNES is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Bank Aktiengesellscha and TYSNES SPAREBANK NK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TYSNES SPAREBANK 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 TYSNES SPAREBANK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TYSNES SPAREBANK has no effect on the direction of Deutsche Bank i.e., Deutsche Bank and TYSNES SPAREBANK go up and down completely randomly.
Pair Corralation between Deutsche Bank and TYSNES SPAREBANK
Assuming the 90 days horizon Deutsche Bank Aktiengesellschaft is expected to generate 1.57 times more return on investment than TYSNES SPAREBANK. However, Deutsche Bank is 1.57 times more volatile than TYSNES SPAREBANK NK. It trades about 0.21 of its potential returns per unit of risk. TYSNES SPAREBANK NK is currently generating about 0.28 per unit of risk. If you would invest 2,065 in Deutsche Bank Aktiengesellschaft on April 20, 2025 and sell it today you would earn a total of 509.00 from holding Deutsche Bank Aktiengesellschaft or generate 24.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Deutsche Bank Aktiengesellscha vs. TYSNES SPAREBANK NK
Performance |
Timeline |
Deutsche Bank Aktien |
TYSNES SPAREBANK |
Deutsche Bank and TYSNES SPAREBANK Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Bank and TYSNES SPAREBANK
The main advantage of trading using opposite Deutsche Bank and TYSNES SPAREBANK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Bank position performs unexpectedly, TYSNES SPAREBANK 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 TYSNES SPAREBANK will offset losses from the drop in TYSNES SPAREBANK's long position.Deutsche Bank vs. ALLFUNDS GROUP EO 0025 | Deutsche Bank vs. MidCap Financial Investment | Deutsche Bank vs. Apollo Investment Corp | Deutsche Bank vs. SALESFORCE INC CDR |
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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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