Correlation Between GMxico Transportes and Barry Callebaut
Can any of the company-specific risk be diversified away by investing in both GMxico Transportes and Barry Callebaut 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 GMxico Transportes and Barry Callebaut into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GMxico Transportes SAB and Barry Callebaut AG, you can compare the effects of market volatilities on GMxico Transportes and Barry Callebaut 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 GMxico Transportes with a short position of Barry Callebaut. Check out your portfolio center. Please also check ongoing floating volatility patterns of GMxico Transportes and Barry Callebaut.
Diversification Opportunities for GMxico Transportes and Barry Callebaut
-0.94 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GMxico and Barry is -0.94. Overlapping area represents the amount of risk that can be diversified away by holding GMxico Transportes SAB and Barry Callebaut AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barry Callebaut AG and GMxico Transportes 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 GMxico Transportes SAB are associated (or correlated) with Barry Callebaut. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barry Callebaut AG has no effect on the direction of GMxico Transportes i.e., GMxico Transportes and Barry Callebaut go up and down completely randomly.
Pair Corralation between GMxico Transportes and Barry Callebaut
Assuming the 90 days horizon GMxico Transportes SAB is expected to generate 0.6 times more return on investment than Barry Callebaut. However, GMxico Transportes SAB is 1.67 times less risky than Barry Callebaut. It trades about -0.25 of its potential returns per unit of risk. Barry Callebaut AG is currently generating about -0.44 per unit of risk. If you would invest 163.00 in GMxico Transportes SAB on October 12, 2024 and sell it today you would lose (7.00) from holding GMxico Transportes SAB or give up 4.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
GMxico Transportes SAB vs. Barry Callebaut AG
Performance |
Timeline |
GMxico Transportes SAB |
Barry Callebaut AG |
GMxico Transportes and Barry Callebaut Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GMxico Transportes and Barry Callebaut
The main advantage of trading using opposite GMxico Transportes and Barry Callebaut positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GMxico Transportes position performs unexpectedly, Barry Callebaut 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 Barry Callebaut will offset losses from the drop in Barry Callebaut's long position.GMxico Transportes vs. West Japan Railway | GMxico Transportes vs. Central Japan Railway | GMxico Transportes vs. LB Foster | GMxico Transportes vs. Norfolk Southern |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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