Correlation Between EAGLE MATERIALS and Advanced Micro
Can any of the company-specific risk be diversified away by investing in both EAGLE MATERIALS and Advanced Micro 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 EAGLE MATERIALS and Advanced Micro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EAGLE MATERIALS and Advanced Micro Devices, you can compare the effects of market volatilities on EAGLE MATERIALS and Advanced Micro 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 EAGLE MATERIALS with a short position of Advanced Micro. Check out your portfolio center. Please also check ongoing floating volatility patterns of EAGLE MATERIALS and Advanced Micro.
Diversification Opportunities for EAGLE MATERIALS and Advanced Micro
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between EAGLE and Advanced is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding EAGLE MATERIALS and Advanced Micro Devices in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Advanced Micro Devices and EAGLE MATERIALS 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 EAGLE MATERIALS are associated (or correlated) with Advanced Micro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Advanced Micro Devices has no effect on the direction of EAGLE MATERIALS i.e., EAGLE MATERIALS and Advanced Micro go up and down completely randomly.
Pair Corralation between EAGLE MATERIALS and Advanced Micro
Assuming the 90 days trading horizon EAGLE MATERIALS is expected to generate 125.32 times less return on investment than Advanced Micro. But when comparing it to its historical volatility, EAGLE MATERIALS is 1.32 times less risky than Advanced Micro. It trades about 0.0 of its potential returns per unit of risk. Advanced Micro Devices is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest 7,537 in Advanced Micro Devices on April 22, 2025 and sell it today you would earn a total of 6,063 from holding Advanced Micro Devices or generate 80.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
EAGLE MATERIALS vs. Advanced Micro Devices
Performance |
Timeline |
EAGLE MATERIALS |
Advanced Micro Devices |
EAGLE MATERIALS and Advanced Micro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EAGLE MATERIALS and Advanced Micro
The main advantage of trading using opposite EAGLE MATERIALS and Advanced Micro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EAGLE MATERIALS position performs unexpectedly, Advanced Micro 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 Advanced Micro will offset losses from the drop in Advanced Micro's long position.EAGLE MATERIALS vs. GEELY AUTOMOBILE | EAGLE MATERIALS vs. Grupo Carso SAB | EAGLE MATERIALS vs. INTER CARS SA | EAGLE MATERIALS vs. SOGECLAIR SA INH |
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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 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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