Correlation Between CAL-MAINE FOODS and Grupo México
Can any of the company-specific risk be diversified away by investing in both CAL-MAINE FOODS and Grupo México 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 CAL-MAINE FOODS and Grupo México into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CAL MAINE FOODS and Grupo Mxico SAB, you can compare the effects of market volatilities on CAL-MAINE FOODS and Grupo México 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 CAL-MAINE FOODS with a short position of Grupo México. Check out your portfolio center. Please also check ongoing floating volatility patterns of CAL-MAINE FOODS and Grupo México.
Diversification Opportunities for CAL-MAINE FOODS and Grupo México
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CAL-MAINE and Grupo is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding CAL MAINE FOODS and Grupo Mxico SAB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grupo Mxico SAB and CAL-MAINE FOODS 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 CAL MAINE FOODS are associated (or correlated) with Grupo México. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grupo Mxico SAB has no effect on the direction of CAL-MAINE FOODS i.e., CAL-MAINE FOODS and Grupo México go up and down completely randomly.
Pair Corralation between CAL-MAINE FOODS and Grupo México
Assuming the 90 days trading horizon CAL-MAINE FOODS is expected to generate 1.79 times less return on investment than Grupo México. But when comparing it to its historical volatility, CAL MAINE FOODS is 2.03 times less risky than Grupo México. It trades about 0.13 of its potential returns per unit of risk. Grupo Mxico SAB is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 127.00 in Grupo Mxico SAB on October 4, 2024 and sell it today you would earn a total of 342.00 from holding Grupo Mxico SAB or generate 269.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CAL MAINE FOODS vs. Grupo Mxico SAB
Performance |
Timeline |
CAL MAINE FOODS |
Grupo Mxico SAB |
CAL-MAINE FOODS and Grupo México Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CAL-MAINE FOODS and Grupo México
The main advantage of trading using opposite CAL-MAINE FOODS and Grupo México positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CAL-MAINE FOODS position performs unexpectedly, Grupo México 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 México will offset losses from the drop in Grupo México's long position.CAL-MAINE FOODS vs. Laureate Education | CAL-MAINE FOODS vs. Harmony Gold Mining | CAL-MAINE FOODS vs. EEDUCATION ALBERT AB | CAL-MAINE FOODS vs. TAL Education Group |
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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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