Correlation Between Commerzbank and Santander Bank
Can any of the company-specific risk be diversified away by investing in both Commerzbank and Santander 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 Commerzbank and Santander Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commerzbank AG and Santander Bank Polska, you can compare the effects of market volatilities on Commerzbank and Santander 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 Commerzbank with a short position of Santander Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commerzbank and Santander Bank.
Diversification Opportunities for Commerzbank and Santander Bank
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Commerzbank and Santander is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Commerzbank AG and Santander Bank Polska in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santander Bank Polska and Commerzbank 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 Commerzbank AG are associated (or correlated) with Santander Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santander Bank Polska has no effect on the direction of Commerzbank i.e., Commerzbank and Santander Bank go up and down completely randomly.
Pair Corralation between Commerzbank and Santander Bank
Assuming the 90 days trading horizon Commerzbank AG is expected to generate 0.66 times more return on investment than Santander Bank. However, Commerzbank AG is 1.52 times less risky than Santander Bank. It trades about 0.04 of its potential returns per unit of risk. Santander Bank Polska is currently generating about 0.02 per unit of risk. If you would invest 1,479 in Commerzbank AG on September 23, 2024 and sell it today you would earn a total of 46.00 from holding Commerzbank AG or generate 3.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Commerzbank AG vs. Santander Bank Polska
Performance |
Timeline |
Commerzbank AG |
Santander Bank Polska |
Commerzbank and Santander Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commerzbank and Santander Bank
The main advantage of trading using opposite Commerzbank and Santander Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commerzbank position performs unexpectedly, Santander 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 Santander Bank will offset losses from the drop in Santander Bank's long position.Commerzbank vs. BNP Paribas SA | Commerzbank vs. DNB BANK ASA | Commerzbank vs. Deutsche Bank Aktiengesellschaft | Commerzbank vs. Socit Gnrale Socit |
Santander Bank vs. BNP Paribas SA | Santander Bank vs. DNB BANK ASA | Santander Bank vs. Deutsche Bank Aktiengesellschaft | Santander Bank vs. Socit Gnrale Socit |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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