Correlation Between Farmers and Banco Santander
Can any of the company-specific risk be diversified away by investing in both Farmers and Banco Santander 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 Farmers and Banco Santander into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Farmers And Merchants and Banco Santander Brasil, you can compare the effects of market volatilities on Farmers and Banco Santander 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 Farmers with a short position of Banco Santander. Check out your portfolio center. Please also check ongoing floating volatility patterns of Farmers and Banco Santander.
Diversification Opportunities for Farmers and Banco Santander
-0.93 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Farmers and Banco is -0.93. Overlapping area represents the amount of risk that can be diversified away by holding Farmers And Merchants and Banco Santander Brasil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Banco Santander Brasil and Farmers 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 Farmers And Merchants are associated (or correlated) with Banco Santander. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Banco Santander Brasil has no effect on the direction of Farmers i.e., Farmers and Banco Santander go up and down completely randomly.
Pair Corralation between Farmers and Banco Santander
Given the investment horizon of 90 days Farmers And Merchants is expected to generate 0.42 times more return on investment than Banco Santander. However, Farmers And Merchants is 2.38 times less risky than Banco Santander. It trades about 0.32 of its potential returns per unit of risk. Banco Santander Brasil is currently generating about -0.29 per unit of risk. If you would invest 545,906 in Farmers And Merchants on September 4, 2024 and sell it today you would earn a total of 31,994 from holding Farmers And Merchants or generate 5.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Farmers And Merchants vs. Banco Santander Brasil
Performance |
Timeline |
Farmers And Merchants |
Banco Santander Brasil |
Farmers and Banco Santander Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Farmers and Banco Santander
The main advantage of trading using opposite Farmers and Banco Santander positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Farmers position performs unexpectedly, Banco Santander 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 Banco Santander will offset losses from the drop in Banco Santander's long position.Farmers vs. Western Asset Global | Farmers vs. Invesco Trust For | Farmers vs. Logan Ridge Finance | Farmers vs. Invesco Advantage MIT |
Banco Santander vs. Banco De Chile | Banco Santander vs. CrossFirst Bankshares | Banco Santander vs. Banco Bradesco SA | Banco Santander vs. CF Bankshares |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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