Correlation Between Martin Marietta and NEWELL RUBBERMAID
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and NEWELL RUBBERMAID 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 NEWELL RUBBERMAID 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 NEWELL RUBBERMAID , you can compare the effects of market volatilities on Martin Marietta and NEWELL RUBBERMAID 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 NEWELL RUBBERMAID. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and NEWELL RUBBERMAID.
Diversification Opportunities for Martin Marietta and NEWELL RUBBERMAID
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Martin and NEWELL is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and NEWELL RUBBERMAID in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NEWELL RUBBERMAID 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 NEWELL RUBBERMAID. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NEWELL RUBBERMAID has no effect on the direction of Martin Marietta i.e., Martin Marietta and NEWELL RUBBERMAID go up and down completely randomly.
Pair Corralation between Martin Marietta and NEWELL RUBBERMAID
Assuming the 90 days trading horizon Martin Marietta Materials is expected to generate 0.39 times more return on investment than NEWELL RUBBERMAID. However, Martin Marietta Materials is 2.58 times less risky than NEWELL RUBBERMAID. It trades about -0.12 of its potential returns per unit of risk. NEWELL RUBBERMAID is currently generating about -0.18 per unit of risk. If you would invest 50,460 in Martin Marietta Materials on December 30, 2024 and sell it today you would lose (5,680) from holding Martin Marietta Materials or give up 11.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Martin Marietta Materials vs. NEWELL RUBBERMAID
Performance |
Timeline |
Martin Marietta Materials |
NEWELL RUBBERMAID |
Martin Marietta and NEWELL RUBBERMAID Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and NEWELL RUBBERMAID
The main advantage of trading using opposite Martin Marietta and NEWELL RUBBERMAID positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, NEWELL RUBBERMAID 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 NEWELL RUBBERMAID will offset losses from the drop in NEWELL RUBBERMAID's long position.Martin Marietta vs. United States Steel | Martin Marietta vs. KRAKATAU STEEL B | Martin Marietta vs. BlueScope Steel Limited | Martin Marietta vs. IRONVELD PLC LS |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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