Correlation Between Grupo Bimbo and Preferred Commerce
Can any of the company-specific risk be diversified away by investing in both Grupo Bimbo and Preferred Commerce 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 Bimbo and Preferred Commerce into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grupo Bimbo SAB and Preferred Commerce, you can compare the effects of market volatilities on Grupo Bimbo and Preferred Commerce 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 Bimbo with a short position of Preferred Commerce. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grupo Bimbo and Preferred Commerce.
Diversification Opportunities for Grupo Bimbo and Preferred Commerce
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Grupo and Preferred is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Grupo Bimbo SAB and Preferred Commerce in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Preferred Commerce and Grupo Bimbo 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 Bimbo SAB are associated (or correlated) with Preferred Commerce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Preferred Commerce has no effect on the direction of Grupo Bimbo i.e., Grupo Bimbo and Preferred Commerce go up and down completely randomly.
Pair Corralation between Grupo Bimbo and Preferred Commerce
Assuming the 90 days horizon Grupo Bimbo SAB is expected to under-perform the Preferred Commerce. But the pink sheet apears to be less risky and, when comparing its historical volatility, Grupo Bimbo SAB is 5.78 times less risky than Preferred Commerce. The pink sheet trades about -0.13 of its potential returns per unit of risk. The Preferred Commerce is currently generating about 0.41 of returns per unit of risk over similar time horizon. If you would invest 15.00 in Preferred Commerce on September 26, 2024 and sell it today you would earn a total of 333.00 from holding Preferred Commerce or generate 2220.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 96.92% |
Values | Daily Returns |
Grupo Bimbo SAB vs. Preferred Commerce
Performance |
Timeline |
Grupo Bimbo SAB |
Preferred Commerce |
Grupo Bimbo and Preferred Commerce Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grupo Bimbo and Preferred Commerce
The main advantage of trading using opposite Grupo Bimbo and Preferred Commerce positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grupo Bimbo position performs unexpectedly, Preferred Commerce 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 Preferred Commerce will offset losses from the drop in Preferred Commerce's long position.Grupo Bimbo vs. Qed Connect | Grupo Bimbo vs. Branded Legacy | Grupo Bimbo vs. Yuenglings Ice Cream | Grupo Bimbo vs. Bit Origin |
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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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