Correlation Between PF Bakkafrost and Jernimo Martins
Can any of the company-specific risk be diversified away by investing in both PF Bakkafrost and Jernimo Martins 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 PF Bakkafrost and Jernimo Martins into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PF Bakkafrost and Jernimo Martins SGPS, you can compare the effects of market volatilities on PF Bakkafrost and Jernimo Martins 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 PF Bakkafrost with a short position of Jernimo Martins. Check out your portfolio center. Please also check ongoing floating volatility patterns of PF Bakkafrost and Jernimo Martins.
Diversification Opportunities for PF Bakkafrost and Jernimo Martins
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between 6BF and Jernimo is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding PF Bakkafrost and Jernimo Martins SGPS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jernimo Martins SGPS and PF Bakkafrost 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 PF Bakkafrost are associated (or correlated) with Jernimo Martins. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jernimo Martins SGPS has no effect on the direction of PF Bakkafrost i.e., PF Bakkafrost and Jernimo Martins go up and down completely randomly.
Pair Corralation between PF Bakkafrost and Jernimo Martins
Assuming the 90 days horizon PF Bakkafrost is expected to under-perform the Jernimo Martins. In addition to that, PF Bakkafrost is 1.13 times more volatile than Jernimo Martins SGPS. It trades about -0.05 of its total potential returns per unit of risk. Jernimo Martins SGPS is currently generating about 0.06 per unit of volatility. If you would invest 1,772 in Jernimo Martins SGPS on September 23, 2024 and sell it today you would earn a total of 33.00 from holding Jernimo Martins SGPS or generate 1.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PF Bakkafrost vs. Jernimo Martins SGPS
Performance |
Timeline |
PF Bakkafrost |
Jernimo Martins SGPS |
PF Bakkafrost and Jernimo Martins Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PF Bakkafrost and Jernimo Martins
The main advantage of trading using opposite PF Bakkafrost and Jernimo Martins positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PF Bakkafrost position performs unexpectedly, Jernimo Martins 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 Jernimo Martins will offset losses from the drop in Jernimo Martins' long position.PF Bakkafrost vs. YATRA ONLINE DL 0001 | PF Bakkafrost vs. United Internet AG | PF Bakkafrost vs. Computer And Technologies | PF Bakkafrost vs. Verizon Communications |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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