Correlation Between Martin Marietta and JAMES HARDIE
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and JAMES HARDIE 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 JAMES HARDIE 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 JAMES HARDIE INDUSTADR1, you can compare the effects of market volatilities on Martin Marietta and JAMES HARDIE 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 JAMES HARDIE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and JAMES HARDIE.
Diversification Opportunities for Martin Marietta and JAMES HARDIE
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Martin and JAMES is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and JAMES HARDIE INDUSTADR1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JAMES HARDIE INDUSTADR1 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 JAMES HARDIE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JAMES HARDIE INDUSTADR1 has no effect on the direction of Martin Marietta i.e., Martin Marietta and JAMES HARDIE go up and down completely randomly.
Pair Corralation between Martin Marietta and JAMES HARDIE
Assuming the 90 days horizon Martin Marietta Materials is expected to generate 0.34 times more return on investment than JAMES HARDIE. However, Martin Marietta Materials is 2.93 times less risky than JAMES HARDIE. It trades about 0.06 of its potential returns per unit of risk. JAMES HARDIE INDUSTADR1 is currently generating about 0.02 per unit of risk. If you would invest 48,871 in Martin Marietta Materials on September 20, 2024 and sell it today you would earn a total of 3,029 from holding Martin Marietta Materials or generate 6.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Martin Marietta Materials vs. JAMES HARDIE INDUSTADR1
Performance |
Timeline |
Martin Marietta Materials |
JAMES HARDIE INDUSTADR1 |
Martin Marietta and JAMES HARDIE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and JAMES HARDIE
The main advantage of trading using opposite Martin Marietta and JAMES HARDIE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, JAMES HARDIE 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 JAMES HARDIE will offset losses from the drop in JAMES HARDIE's long position.Martin Marietta vs. Calibre Mining Corp | Martin Marietta vs. Casio Computer CoLtd | Martin Marietta vs. ARDAGH METAL PACDL 0001 | Martin Marietta vs. DISTRICT METALS |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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