Correlation Between Marfrig Global and PENN Entertainment,
Can any of the company-specific risk be diversified away by investing in both Marfrig Global and PENN Entertainment, 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 PENN Entertainment, 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 PENN Entertainment,, you can compare the effects of market volatilities on Marfrig Global and PENN Entertainment, 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 PENN Entertainment,. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marfrig Global and PENN Entertainment,.
Diversification Opportunities for Marfrig Global and PENN Entertainment,
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Marfrig and PENN is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Marfrig Global Foods and PENN Entertainment, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PENN Entertainment, 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 PENN Entertainment,. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PENN Entertainment, has no effect on the direction of Marfrig Global i.e., Marfrig Global and PENN Entertainment, go up and down completely randomly.
Pair Corralation between Marfrig Global and PENN Entertainment,
Assuming the 90 days trading horizon Marfrig Global Foods is expected to generate 1.78 times more return on investment than PENN Entertainment,. However, Marfrig Global is 1.78 times more volatile than PENN Entertainment,. It trades about 0.13 of its potential returns per unit of risk. PENN Entertainment, is currently generating about 0.12 per unit of risk. If you would invest 1,236 in Marfrig Global Foods on October 24, 2024 and sell it today you would earn a total of 267.00 from holding Marfrig Global Foods or generate 21.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.31% |
Values | Daily Returns |
Marfrig Global Foods vs. PENN Entertainment,
Performance |
Timeline |
Marfrig Global Foods |
PENN Entertainment, |
Marfrig Global and PENN Entertainment, Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marfrig Global and PENN Entertainment,
The main advantage of trading using opposite Marfrig Global and PENN Entertainment, positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marfrig Global position performs unexpectedly, PENN Entertainment, 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 PENN Entertainment, will offset losses from the drop in PENN Entertainment,'s long position.Marfrig Global vs. JBS SA | Marfrig Global vs. Minerva SA | Marfrig Global vs. BRF SA | Marfrig Global vs. Companhia Siderrgica Nacional |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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