Correlation Between Banco Santander and Bank Central
Can any of the company-specific risk be diversified away by investing in both Banco Santander and Bank Central 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 Banco Santander and Bank Central into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Banco Santander Brasil and Bank Central Asia, you can compare the effects of market volatilities on Banco Santander and Bank Central 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 Banco Santander with a short position of Bank Central. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banco Santander and Bank Central.
Diversification Opportunities for Banco Santander and Bank Central
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Banco and Bank is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Banco Santander Brasil and Bank Central Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Central Asia and Banco Santander 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 Banco Santander Brasil are associated (or correlated) with Bank Central. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Central Asia has no effect on the direction of Banco Santander i.e., Banco Santander and Bank Central go up and down completely randomly.
Pair Corralation between Banco Santander and Bank Central
Given the investment horizon of 90 days Banco Santander Brasil is expected to under-perform the Bank Central. In addition to that, Banco Santander is 1.37 times more volatile than Bank Central Asia. It trades about -0.26 of its total potential returns per unit of risk. Bank Central Asia is currently generating about -0.05 per unit of volatility. If you would invest 1,550 in Bank Central Asia on September 27, 2024 and sell it today you would lose (43.00) from holding Bank Central Asia or give up 2.77% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Banco Santander Brasil vs. Bank Central Asia
Performance |
| Timeline |
| Banco Santander Brasil |
| Bank Central Asia |
Banco Santander and Bank Central Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Banco Santander and Bank Central
The main advantage of trading using opposite Banco Santander and Bank Central positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banco Santander position performs unexpectedly, Bank Central 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 Bank Central will offset losses from the drop in Bank Central's long position.| Banco Santander vs. Banco De Chile | Banco Santander vs. CrossFirst Bankshares | Banco Santander vs. Banco Bradesco SA | Banco Santander vs. CF Bankshares |
| Bank Central vs. Banco Bradesco SA | Bank Central vs. Itau Unibanco Banco | Bank Central vs. Deutsche Bank AG | Bank Central vs. Banco Santander Brasil |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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