Correlation Between Martin Marietta and PF Bakkafrost
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and PF Bakkafrost 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 Martin Marietta and PF Bakkafrost into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Martin Marietta Materials and PF Bakkafrost, you can compare the effects of market volatilities on Martin Marietta and PF Bakkafrost 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 Martin Marietta with a short position of PF Bakkafrost. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and PF Bakkafrost.
Diversification Opportunities for Martin Marietta and PF Bakkafrost
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Martin and 6BF is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and PF Bakkafrost in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PF Bakkafrost and Martin Marietta 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 Martin Marietta Materials are associated (or correlated) with PF Bakkafrost. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PF Bakkafrost has no effect on the direction of Martin Marietta i.e., Martin Marietta and PF Bakkafrost go up and down completely randomly.
Pair Corralation between Martin Marietta and PF Bakkafrost
Assuming the 90 days trading horizon Martin Marietta is expected to generate 2.37 times less return on investment than PF Bakkafrost. But when comparing it to its historical volatility, Martin Marietta Materials is 1.68 times less risky than PF Bakkafrost. It trades about 0.07 of its potential returns per unit of risk. PF Bakkafrost is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 3,325 in PF Bakkafrost on September 15, 2024 and sell it today you would earn a total of 2,525 from holding PF Bakkafrost or generate 75.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Martin Marietta Materials vs. PF Bakkafrost
Performance |
Timeline |
Martin Marietta Materials |
PF Bakkafrost |
Martin Marietta and PF Bakkafrost Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and PF Bakkafrost
The main advantage of trading using opposite Martin Marietta and PF Bakkafrost positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, PF Bakkafrost 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 PF Bakkafrost will offset losses from the drop in PF Bakkafrost's long position.Martin Marietta vs. Apple Inc | Martin Marietta vs. Apple Inc | Martin Marietta vs. Apple Inc | Martin Marietta vs. Apple Inc |
PF Bakkafrost vs. AEON STORES | PF Bakkafrost vs. The Yokohama Rubber | PF Bakkafrost vs. RETAIL FOOD GROUP | PF Bakkafrost vs. Martin Marietta Materials |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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