Correlation Between Longvie SA and Grupo Financiero
Can any of the company-specific risk be diversified away by investing in both Longvie SA 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 Longvie SA and Grupo Financiero into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Longvie SA and Grupo Financiero Galicia, you can compare the effects of market volatilities on Longvie SA 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 Longvie SA with a short position of Grupo Financiero. Check out your portfolio center. Please also check ongoing floating volatility patterns of Longvie SA and Grupo Financiero.
Diversification Opportunities for Longvie SA and Grupo Financiero
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Longvie and Grupo is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Longvie SA and Grupo Financiero Galicia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grupo Financiero Galicia and Longvie SA 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 Longvie SA 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 Galicia has no effect on the direction of Longvie SA i.e., Longvie SA and Grupo Financiero go up and down completely randomly.
Pair Corralation between Longvie SA and Grupo Financiero
Assuming the 90 days trading horizon Longvie SA is expected to under-perform the Grupo Financiero. But the stock apears to be less risky and, when comparing its historical volatility, Longvie SA is 1.19 times less risky than Grupo Financiero. The stock trades about -0.09 of its potential returns per unit of risk. The Grupo Financiero Galicia is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 745,000 in Grupo Financiero Galicia on December 30, 2024 and sell it today you would lose (14,000) from holding Grupo Financiero Galicia or give up 1.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Longvie SA vs. Grupo Financiero Galicia
Performance |
Timeline |
Longvie SA |
Grupo Financiero Galicia |
Longvie SA and Grupo Financiero Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Longvie SA and Grupo Financiero
The main advantage of trading using opposite Longvie SA and Grupo Financiero positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Longvie SA 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.Longvie SA vs. Harmony Gold Mining | Longvie SA vs. United States Steel | Longvie SA vs. Compania de Transporte | Longvie SA vs. Verizon Communications |
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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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