Correlation Between Virginia National and Grupo Aval
Can any of the company-specific risk be diversified away by investing in both Virginia National and Grupo Aval 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 Virginia National and Grupo Aval into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Virginia National Bankshares and Grupo Aval, you can compare the effects of market volatilities on Virginia National and Grupo Aval 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 Virginia National with a short position of Grupo Aval. Check out your portfolio center. Please also check ongoing floating volatility patterns of Virginia National and Grupo Aval.
Diversification Opportunities for Virginia National and Grupo Aval
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Virginia and Grupo is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Virginia National Bankshares and Grupo Aval in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grupo Aval and Virginia National 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 Virginia National Bankshares are associated (or correlated) with Grupo Aval. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grupo Aval has no effect on the direction of Virginia National i.e., Virginia National and Grupo Aval go up and down completely randomly.
Pair Corralation between Virginia National and Grupo Aval
Given the investment horizon of 90 days Virginia National Bankshares is expected to generate 1.44 times more return on investment than Grupo Aval. However, Virginia National is 1.44 times more volatile than Grupo Aval. It trades about 0.08 of its potential returns per unit of risk. Grupo Aval is currently generating about -0.02 per unit of risk. If you would invest 2,573 in Virginia National Bankshares on August 12, 2024 and sell it today you would earn a total of 1,680 from holding Virginia National Bankshares or generate 65.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Virginia National Bankshares vs. Grupo Aval
Performance |
Timeline |
Virginia National |
Grupo Aval |
Virginia National and Grupo Aval Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Virginia National and Grupo Aval
The main advantage of trading using opposite Virginia National and Grupo Aval positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Virginia National position performs unexpectedly, Grupo Aval 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 Aval will offset losses from the drop in Grupo Aval's long position.Virginia National vs. Waterstone Financial | Virginia National vs. ST Bancorp | Virginia National vs. Republic Bancorp | Virginia National vs. Southern Missouri 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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