Correlation Between Hyundai and Martin Marietta
Can any of the company-specific risk be diversified away by investing in both Hyundai 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 Hyundai and Martin Marietta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Motor and Martin Marietta Materials, you can compare the effects of market volatilities on Hyundai 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 Hyundai with a short position of Martin Marietta. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai and Martin Marietta.
Diversification Opportunities for Hyundai and Martin Marietta
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Hyundai and Martin is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Motor 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 Hyundai 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 Hyundai Motor 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 Hyundai i.e., Hyundai and Martin Marietta go up and down completely randomly.
Pair Corralation between Hyundai and Martin Marietta
Assuming the 90 days trading horizon Hyundai Motor is expected to under-perform the Martin Marietta. In addition to that, Hyundai is 1.52 times more volatile than Martin Marietta Materials. It trades about -0.09 of its total potential returns per unit of risk. Martin Marietta Materials is currently generating about 0.17 per unit of volatility. If you would invest 50,608 in Martin Marietta Materials on September 4, 2024 and sell it today you would earn a total of 8,841 from holding Martin Marietta Materials or generate 17.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
Hyundai Motor vs. Martin Marietta Materials
Performance |
Timeline |
Hyundai Motor |
Martin Marietta Materials |
Hyundai and Martin Marietta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyundai and Martin Marietta
The main advantage of trading using opposite Hyundai and Martin Marietta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai 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.Hyundai vs. Empire Metals Limited | Hyundai vs. The Mercantile Investment | Hyundai vs. Sovereign Metals | Hyundai vs. Cornish Metals |
Martin Marietta vs. Samsung Electronics Co | Martin Marietta vs. Samsung Electronics Co | Martin Marietta vs. Hyundai Motor | Martin Marietta vs. Toyota Motor Corp |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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