Correlation Between Jalles Machado and Camil Alimentos
Can any of the company-specific risk be diversified away by investing in both Jalles Machado and Camil Alimentos 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 Jalles Machado and Camil Alimentos into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jalles Machado SA and Camil Alimentos SA, you can compare the effects of market volatilities on Jalles Machado and Camil Alimentos 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 Jalles Machado with a short position of Camil Alimentos. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jalles Machado and Camil Alimentos.
Diversification Opportunities for Jalles Machado and Camil Alimentos
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Jalles and Camil is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Jalles Machado SA and Camil Alimentos SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Camil Alimentos SA and Jalles Machado 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 Jalles Machado SA are associated (or correlated) with Camil Alimentos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Camil Alimentos SA has no effect on the direction of Jalles Machado i.e., Jalles Machado and Camil Alimentos go up and down completely randomly.
Pair Corralation between Jalles Machado and Camil Alimentos
Assuming the 90 days trading horizon Jalles Machado SA is expected to generate 1.11 times more return on investment than Camil Alimentos. However, Jalles Machado is 1.11 times more volatile than Camil Alimentos SA. It trades about -0.25 of its potential returns per unit of risk. Camil Alimentos SA is currently generating about -0.29 per unit of risk. If you would invest 648.00 in Jalles Machado SA on September 26, 2024 and sell it today you would lose (184.00) from holding Jalles Machado SA or give up 28.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jalles Machado SA vs. Camil Alimentos SA
Performance |
Timeline |
Jalles Machado SA |
Camil Alimentos SA |
Jalles Machado and Camil Alimentos Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jalles Machado and Camil Alimentos
The main advantage of trading using opposite Jalles Machado and Camil Alimentos positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jalles Machado position performs unexpectedly, Camil Alimentos 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 Camil Alimentos will offset losses from the drop in Camil Alimentos' long position.Jalles Machado vs. The Kraft Heinz | Jalles Machado vs. K1EL34 | Jalles Machado vs. JBS SA | Jalles Machado vs. M Dias Branco |
Camil Alimentos vs. Lojas Renner SA | Camil Alimentos vs. Hypera SA | Camil Alimentos vs. Fleury SA | Camil Alimentos vs. Localiza Rent a |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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