Correlation Between Martin Marietta and CENTURIA OFFICE
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and CENTURIA OFFICE 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 CENTURIA OFFICE 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 CENTURIA OFFICE REIT, you can compare the effects of market volatilities on Martin Marietta and CENTURIA OFFICE 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 CENTURIA OFFICE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and CENTURIA OFFICE.
Diversification Opportunities for Martin Marietta and CENTURIA OFFICE
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Martin and CENTURIA is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and CENTURIA OFFICE REIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CENTURIA OFFICE REIT 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 CENTURIA OFFICE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CENTURIA OFFICE REIT has no effect on the direction of Martin Marietta i.e., Martin Marietta and CENTURIA OFFICE go up and down completely randomly.
Pair Corralation between Martin Marietta and CENTURIA OFFICE
Assuming the 90 days trading horizon Martin Marietta Materials is expected to generate 0.66 times more return on investment than CENTURIA OFFICE. However, Martin Marietta Materials is 1.52 times less risky than CENTURIA OFFICE. It trades about 0.01 of its potential returns per unit of risk. CENTURIA OFFICE REIT is currently generating about -0.04 per unit of risk. If you would invest 51,887 in Martin Marietta Materials on October 23, 2024 and sell it today you would earn a total of 273.00 from holding Martin Marietta Materials or generate 0.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Martin Marietta Materials vs. CENTURIA OFFICE REIT
Performance |
Timeline |
Martin Marietta Materials |
CENTURIA OFFICE REIT |
Martin Marietta and CENTURIA OFFICE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and CENTURIA OFFICE
The main advantage of trading using opposite Martin Marietta and CENTURIA OFFICE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, CENTURIA OFFICE 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 CENTURIA OFFICE will offset losses from the drop in CENTURIA OFFICE's long position.Martin Marietta vs. United Airlines Holdings | Martin Marietta vs. CHAMPION IRON | Martin Marietta vs. JAPAN AIRLINES | Martin Marietta vs. American Airlines Group |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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