Correlation Between Loma Negra and Summit Materials
Can any of the company-specific risk be diversified away by investing in both Loma Negra and Summit Materials 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 Loma Negra and Summit Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loma Negra Compania and Summit Materials, you can compare the effects of market volatilities on Loma Negra and Summit Materials 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 Loma Negra with a short position of Summit Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loma Negra and Summit Materials.
Diversification Opportunities for Loma Negra and Summit Materials
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Loma and Summit is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Loma Negra Compania and Summit Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Summit Materials and Loma Negra 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 Loma Negra Compania are associated (or correlated) with Summit Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Summit Materials has no effect on the direction of Loma Negra i.e., Loma Negra and Summit Materials go up and down completely randomly.
Pair Corralation between Loma Negra and Summit Materials
Given the investment horizon of 90 days Loma Negra is expected to generate 1.45 times less return on investment than Summit Materials. In addition to that, Loma Negra is 1.03 times more volatile than Summit Materials. It trades about 0.2 of its total potential returns per unit of risk. Summit Materials is currently generating about 0.3 per unit of volatility. If you would invest 3,859 in Summit Materials on August 26, 2024 and sell it today you would earn a total of 1,307 from holding Summit Materials or generate 33.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loma Negra Compania vs. Summit Materials
Performance |
Timeline |
Loma Negra Compania |
Summit Materials |
Loma Negra and Summit Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loma Negra and Summit Materials
The main advantage of trading using opposite Loma Negra and Summit Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loma Negra position performs unexpectedly, Summit Materials 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 Summit Materials will offset losses from the drop in Summit Materials' long position.Loma Negra vs. Holcim | Loma Negra vs. Lafargeholcim Ltd ADR | Loma Negra vs. Eagle Materials | Loma Negra vs. The Monarch Cement |
Summit Materials vs. Martin Marietta Materials | Summit Materials vs. Vulcan Materials | Summit Materials vs. United States Lime | Summit Materials vs. James Hardie Industries |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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