Correlation Between Santander Bank and BNP Paribas
Can any of the company-specific risk be diversified away by investing in both Santander Bank and BNP Paribas 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 Santander Bank and BNP Paribas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Santander Bank Polska and BNP Paribas SA, you can compare the effects of market volatilities on Santander Bank and BNP Paribas 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 Santander Bank with a short position of BNP Paribas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Santander Bank and BNP Paribas.
Diversification Opportunities for Santander Bank and BNP Paribas
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Santander and BNP is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Santander Bank Polska and BNP Paribas SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNP Paribas SA and Santander 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 Santander Bank Polska are associated (or correlated) with BNP Paribas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNP Paribas SA has no effect on the direction of Santander Bank i.e., Santander Bank and BNP Paribas go up and down completely randomly.
Pair Corralation between Santander Bank and BNP Paribas
Assuming the 90 days horizon Santander Bank Polska is expected to generate 1.79 times more return on investment than BNP Paribas. However, Santander Bank is 1.79 times more volatile than BNP Paribas SA. It trades about 0.16 of its potential returns per unit of risk. BNP Paribas SA is currently generating about 0.04 per unit of risk. If you would invest 10,200 in Santander Bank Polska on September 23, 2024 and sell it today you would earn a total of 720.00 from holding Santander Bank Polska or generate 7.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Santander Bank Polska vs. BNP Paribas SA
Performance |
Timeline |
Santander Bank Polska |
BNP Paribas SA |
Santander Bank and BNP Paribas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Santander Bank and BNP Paribas
The main advantage of trading using opposite Santander Bank and BNP Paribas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Santander Bank position performs unexpectedly, BNP Paribas 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 BNP Paribas will offset losses from the drop in BNP Paribas' long position.Santander Bank vs. BNP Paribas SA | Santander Bank vs. DNB BANK ASA | Santander Bank vs. Deutsche Bank Aktiengesellschaft | Santander Bank vs. Socit Gnrale Socit |
BNP Paribas vs. DNB BANK ASA | BNP Paribas vs. Deutsche Bank Aktiengesellschaft | BNP Paribas vs. Socit Gnrale Socit | BNP Paribas vs. Commerzbank AG |
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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