Correlation Between Marfrig Global and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Marfrig Global and Automatic Data 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 Marfrig Global and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marfrig Global Foods and Automatic Data Processing, you can compare the effects of market volatilities on Marfrig Global and Automatic Data 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 Marfrig Global with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marfrig Global and Automatic Data.
Diversification Opportunities for Marfrig Global and Automatic Data
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Marfrig and Automatic is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Marfrig Global Foods and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and Marfrig Global 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 Marfrig Global Foods are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of Marfrig Global i.e., Marfrig Global and Automatic Data go up and down completely randomly.
Pair Corralation between Marfrig Global and Automatic Data
Assuming the 90 days trading horizon Marfrig Global Foods is expected to generate 2.35 times more return on investment than Automatic Data. However, Marfrig Global is 2.35 times more volatile than Automatic Data Processing. It trades about 0.05 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.0 per unit of risk. If you would invest 2,133 in Marfrig Global Foods on April 23, 2025 and sell it today you would earn a total of 150.00 from holding Marfrig Global Foods or generate 7.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Marfrig Global Foods vs. Automatic Data Processing
Performance |
Timeline |
Marfrig Global Foods |
Automatic Data Processing |
Marfrig Global and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marfrig Global and Automatic Data
The main advantage of trading using opposite Marfrig Global and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marfrig Global position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.Marfrig Global vs. BRF SA | Marfrig Global vs. Camil Alimentos SA | Marfrig Global vs. M Dias Branco | Marfrig Global vs. Jalles Machado SA |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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