Correlation Between SCANSOURCE and Martin Marietta
Can any of the company-specific risk be diversified away by investing in both SCANSOURCE and Martin Marietta 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 SCANSOURCE and Martin Marietta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCANSOURCE and Martin Marietta Materials, you can compare the effects of market volatilities on SCANSOURCE and Martin Marietta 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 SCANSOURCE with a short position of Martin Marietta. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCANSOURCE and Martin Marietta.
Diversification Opportunities for SCANSOURCE and Martin Marietta
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SCANSOURCE and Martin is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding SCANSOURCE and Martin Marietta Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Martin Marietta Materials and SCANSOURCE 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 SCANSOURCE are associated (or correlated) with Martin Marietta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Martin Marietta Materials has no effect on the direction of SCANSOURCE i.e., SCANSOURCE and Martin Marietta go up and down completely randomly.
Pair Corralation between SCANSOURCE and Martin Marietta
Assuming the 90 days trading horizon SCANSOURCE is expected to under-perform the Martin Marietta. But the stock apears to be less risky and, when comparing its historical volatility, SCANSOURCE is 1.54 times less risky than Martin Marietta. The stock trades about -0.15 of its potential returns per unit of risk. The Martin Marietta Materials is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 46,640 in Martin Marietta Materials on April 22, 2025 and sell it today you would earn a total of 890.00 from holding Martin Marietta Materials or generate 1.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SCANSOURCE vs. Martin Marietta Materials
Performance |
Timeline |
SCANSOURCE |
Martin Marietta Materials |
SCANSOURCE and Martin Marietta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCANSOURCE and Martin Marietta
The main advantage of trading using opposite SCANSOURCE and Martin Marietta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCANSOURCE position performs unexpectedly, Martin Marietta 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 Martin Marietta will offset losses from the drop in Martin Marietta's long position.SCANSOURCE vs. Delta Electronics Public | SCANSOURCE vs. CSSC Offshore Marine | SCANSOURCE vs. Solstad Offshore ASA | SCANSOURCE vs. SBM OFFSHORE |
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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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