Correlation Between Controladora Vuela and GOME Retail
Can any of the company-specific risk be diversified away by investing in both Controladora Vuela and GOME Retail 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 Controladora Vuela and GOME Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Controladora Vuela Compaa and GOME Retail Holdings, you can compare the effects of market volatilities on Controladora Vuela and GOME Retail 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 Controladora Vuela with a short position of GOME Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Controladora Vuela and GOME Retail.
Diversification Opportunities for Controladora Vuela and GOME Retail
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Controladora and GOME is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Controladora Vuela Compaa and GOME Retail Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOME Retail Holdings and Controladora Vuela 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 Controladora Vuela Compaa are associated (or correlated) with GOME Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOME Retail Holdings has no effect on the direction of Controladora Vuela i.e., Controladora Vuela and GOME Retail go up and down completely randomly.
Pair Corralation between Controladora Vuela and GOME Retail
Assuming the 90 days trading horizon Controladora Vuela is expected to generate 1.42 times less return on investment than GOME Retail. But when comparing it to its historical volatility, Controladora Vuela Compaa is 5.71 times less risky than GOME Retail. It trades about 0.22 of its potential returns per unit of risk. GOME Retail Holdings is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 0.10 in GOME Retail Holdings on September 23, 2024 and sell it today you would earn a total of 0.00 from holding GOME Retail Holdings or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Controladora Vuela Compaa vs. GOME Retail Holdings
Performance |
Timeline |
Controladora Vuela Compaa |
GOME Retail Holdings |
Controladora Vuela and GOME Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Controladora Vuela and GOME Retail
The main advantage of trading using opposite Controladora Vuela and GOME Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Controladora Vuela position performs unexpectedly, GOME Retail 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 GOME Retail will offset losses from the drop in GOME Retail's long position.Controladora Vuela vs. Delta Air Lines | Controladora Vuela vs. Air China Limited | Controladora Vuela vs. AIR CHINA LTD | Controladora Vuela vs. RYANAIR HLDGS ADR |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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