Correlation Between Grupo Simec and United Microelectronics
Can any of the company-specific risk be diversified away by investing in both Grupo Simec and United Microelectronics 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 Grupo Simec and United Microelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grupo Simec SAB and United Microelectronics, you can compare the effects of market volatilities on Grupo Simec and United Microelectronics 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 Grupo Simec with a short position of United Microelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grupo Simec and United Microelectronics.
Diversification Opportunities for Grupo Simec and United Microelectronics
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Grupo and United is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Grupo Simec SAB and United Microelectronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Microelectronics and Grupo Simec 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 Grupo Simec SAB are associated (or correlated) with United Microelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Microelectronics has no effect on the direction of Grupo Simec i.e., Grupo Simec and United Microelectronics go up and down completely randomly.
Pair Corralation between Grupo Simec and United Microelectronics
Considering the 90-day investment horizon Grupo Simec SAB is expected to generate 0.8 times more return on investment than United Microelectronics. However, Grupo Simec SAB is 1.25 times less risky than United Microelectronics. It trades about 0.0 of its potential returns per unit of risk. United Microelectronics is currently generating about -0.01 per unit of risk. If you would invest 2,756 in Grupo Simec SAB on May 5, 2025 and sell it today you would lose (11.00) from holding Grupo Simec SAB or give up 0.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Grupo Simec SAB vs. United Microelectronics
Performance |
Timeline |
Grupo Simec SAB |
United Microelectronics |
Grupo Simec and United Microelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grupo Simec and United Microelectronics
The main advantage of trading using opposite Grupo Simec and United Microelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grupo Simec position performs unexpectedly, United Microelectronics 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 United Microelectronics will offset losses from the drop in United Microelectronics' long position.Grupo Simec vs. Friedman Industries Common | Grupo Simec vs. Ferrexpo PLC | Grupo Simec vs. Olympic Steel | Grupo Simec vs. Insteel Industries |
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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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