Correlation Between Sparta Capital and Grupo Financiero
Can any of the company-specific risk be diversified away by investing in both Sparta Capital and Grupo Financiero 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 Sparta Capital and Grupo Financiero into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sparta Capital and Grupo Financiero Inbursa, you can compare the effects of market volatilities on Sparta Capital and Grupo Financiero 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 Sparta Capital with a short position of Grupo Financiero. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sparta Capital and Grupo Financiero.
Diversification Opportunities for Sparta Capital and Grupo Financiero
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sparta and Grupo is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Sparta Capital and Grupo Financiero Inbursa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grupo Financiero Inbursa and Sparta Capital 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 Sparta Capital are associated (or correlated) with Grupo Financiero. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grupo Financiero Inbursa has no effect on the direction of Sparta Capital i.e., Sparta Capital and Grupo Financiero go up and down completely randomly.
Pair Corralation between Sparta Capital and Grupo Financiero
Assuming the 90 days horizon Sparta Capital is expected to under-perform the Grupo Financiero. In addition to that, Sparta Capital is 1.68 times more volatile than Grupo Financiero Inbursa. It trades about -0.13 of its total potential returns per unit of risk. Grupo Financiero Inbursa is currently generating about -0.02 per unit of volatility. If you would invest 221.00 in Grupo Financiero Inbursa on September 12, 2024 and sell it today you would lose (6.00) from holding Grupo Financiero Inbursa or give up 2.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 96.88% |
Values | Daily Returns |
Sparta Capital vs. Grupo Financiero Inbursa
Performance |
Timeline |
Sparta Capital |
Grupo Financiero Inbursa |
Sparta Capital and Grupo Financiero Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sparta Capital and Grupo Financiero
The main advantage of trading using opposite Sparta Capital and Grupo Financiero positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sparta Capital position performs unexpectedly, Grupo Financiero 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 Grupo Financiero will offset losses from the drop in Grupo Financiero's long position.Sparta Capital vs. Zurn Elkay Water | Sparta Capital vs. Federal Signal | Sparta Capital vs. Energy Recovery | Sparta Capital vs. CECO Environmental Corp |
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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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