Correlation Between Martin Marietta and Starbucks
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and Starbucks 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 Starbucks 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 Starbucks, you can compare the effects of market volatilities on Martin Marietta and Starbucks 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 Starbucks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and Starbucks.
Diversification Opportunities for Martin Marietta and Starbucks
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Martin and Starbucks is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials, and Starbucks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Starbucks 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 Starbucks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Starbucks has no effect on the direction of Martin Marietta i.e., Martin Marietta and Starbucks go up and down completely randomly.
Pair Corralation between Martin Marietta and Starbucks
Assuming the 90 days trading horizon Martin Marietta Materials, is expected to generate 0.07 times more return on investment than Starbucks. However, Martin Marietta Materials, is 14.01 times less risky than Starbucks. It trades about -0.11 of its potential returns per unit of risk. Starbucks is currently generating about -0.03 per unit of risk. If you would invest 56,187 in Martin Marietta Materials, on December 26, 2024 and sell it today you would lose (499.00) from holding Martin Marietta Materials, or give up 0.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Martin Marietta Materials, vs. Starbucks
Performance |
Timeline |
Martin Marietta Mate |
Starbucks |
Martin Marietta and Starbucks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and Starbucks
The main advantage of trading using opposite Martin Marietta and Starbucks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, Starbucks 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 Starbucks will offset losses from the drop in Starbucks' long position.Martin Marietta vs. Paycom Software | Martin Marietta vs. Metalurgica Gerdau SA | Martin Marietta vs. GX AI TECH | Martin Marietta vs. United Natural Foods, |
Starbucks vs. Waste Management | Starbucks vs. Telecomunicaes Brasileiras SA | Starbucks vs. Pure Storage, | Starbucks vs. Clover Health Investments, |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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