Correlation Between Grupo Financiero and Alliance Global
Can any of the company-specific risk be diversified away by investing in both Grupo Financiero and Alliance Global 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 Grupo Financiero and Alliance Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grupo Financiero Inbursa and Alliance Global Group, you can compare the effects of market volatilities on Grupo Financiero and Alliance Global 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 Grupo Financiero with a short position of Alliance Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grupo Financiero and Alliance Global.
Diversification Opportunities for Grupo Financiero and Alliance Global
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Grupo and Alliance is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Grupo Financiero Inbursa and Alliance Global Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alliance Global Group and Grupo Financiero 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 Grupo Financiero Inbursa are associated (or correlated) with Alliance Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alliance Global Group has no effect on the direction of Grupo Financiero i.e., Grupo Financiero and Alliance Global go up and down completely randomly.
Pair Corralation between Grupo Financiero and Alliance Global
Assuming the 90 days horizon Grupo Financiero Inbursa is expected to generate 1.13 times more return on investment than Alliance Global. However, Grupo Financiero is 1.13 times more volatile than Alliance Global Group. It trades about 0.23 of its potential returns per unit of risk. Alliance Global Group is currently generating about -0.13 per unit of risk. If you would invest 212.00 in Grupo Financiero Inbursa on September 12, 2024 and sell it today you would earn a total of 30.00 from holding Grupo Financiero Inbursa or generate 14.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 91.3% |
Values | Daily Returns |
Grupo Financiero Inbursa vs. Alliance Global Group
Performance |
Timeline |
Grupo Financiero Inbursa |
Alliance Global Group |
Grupo Financiero and Alliance Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grupo Financiero and Alliance Global
The main advantage of trading using opposite Grupo Financiero and Alliance Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grupo Financiero position performs unexpectedly, Alliance Global 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 Alliance Global will offset losses from the drop in Alliance Global's long position.Grupo Financiero vs. National Bank of | Grupo Financiero vs. Absa Group Limited | Grupo Financiero vs. Aozora Bank Ltd | Grupo Financiero vs. Andover Bancorp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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