Correlation Between AMG Advanced and BE Semiconductor
Can any of the company-specific risk be diversified away by investing in both AMG Advanced and BE Semiconductor 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 AMG Advanced and BE Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AMG Advanced Metallurgical and BE Semiconductor Industries, you can compare the effects of market volatilities on AMG Advanced and BE Semiconductor 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 AMG Advanced with a short position of BE Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of AMG Advanced and BE Semiconductor.
Diversification Opportunities for AMG Advanced and BE Semiconductor
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between AMG and BESI is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding AMG Advanced Metallurgical and BE Semiconductor Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BE Semiconductor Ind and AMG Advanced 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 AMG Advanced Metallurgical are associated (or correlated) with BE Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BE Semiconductor Ind has no effect on the direction of AMG Advanced i.e., AMG Advanced and BE Semiconductor go up and down completely randomly.
Pair Corralation between AMG Advanced and BE Semiconductor
Assuming the 90 days trading horizon AMG Advanced Metallurgical is expected to generate 0.9 times more return on investment than BE Semiconductor. However, AMG Advanced Metallurgical is 1.12 times less risky than BE Semiconductor. It trades about 0.0 of its potential returns per unit of risk. BE Semiconductor Industries is currently generating about -0.02 per unit of risk. If you would invest 1,473 in AMG Advanced Metallurgical on August 31, 2024 and sell it today you would lose (36.00) from holding AMG Advanced Metallurgical or give up 2.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AMG Advanced Metallurgical vs. BE Semiconductor Industries
Performance |
Timeline |
AMG Advanced Metallu |
BE Semiconductor Ind |
AMG Advanced and BE Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AMG Advanced and BE Semiconductor
The main advantage of trading using opposite AMG Advanced and BE Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AMG Advanced position performs unexpectedly, BE Semiconductor 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 BE Semiconductor will offset losses from the drop in BE Semiconductor's long position.AMG Advanced vs. BE Semiconductor Industries | AMG Advanced vs. TKH Group NV | AMG Advanced vs. OCI NV | AMG Advanced vs. Aalberts Industries NV |
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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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