Correlation Between Martin Marietta and Axfood AB
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and Axfood AB 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 Axfood AB 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 Axfood AB, you can compare the effects of market volatilities on Martin Marietta and Axfood AB 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 Axfood AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and Axfood AB.
Diversification Opportunities for Martin Marietta and Axfood AB
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Martin and Axfood is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and Axfood AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axfood AB 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 Axfood AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Axfood AB has no effect on the direction of Martin Marietta i.e., Martin Marietta and Axfood AB go up and down completely randomly.
Pair Corralation between Martin Marietta and Axfood AB
Assuming the 90 days trading horizon Martin Marietta Materials is expected to generate 1.02 times more return on investment than Axfood AB. However, Martin Marietta is 1.02 times more volatile than Axfood AB. It trades about 0.02 of its potential returns per unit of risk. Axfood AB is currently generating about -0.16 per unit of risk. If you would invest 54,708 in Martin Marietta Materials on September 20, 2024 and sell it today you would earn a total of 708.00 from holding Martin Marietta Materials or generate 1.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Martin Marietta Materials vs. Axfood AB
Performance |
Timeline |
Martin Marietta Materials |
Axfood AB |
Martin Marietta and Axfood AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and Axfood AB
The main advantage of trading using opposite Martin Marietta and Axfood AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, Axfood AB 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 Axfood AB will offset losses from the drop in Axfood AB's long position.Martin Marietta vs. GoldMining | Martin Marietta vs. Evolution Gaming Group | Martin Marietta vs. GreenX Metals | Martin Marietta vs. Empire Metals Limited |
Axfood AB vs. Martin Marietta Materials | Axfood AB vs. Worldwide Healthcare Trust | Axfood AB vs. Abingdon Health Plc | Axfood AB vs. Bloomsbury Publishing Plc |
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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