Correlation Between Globex Mining and STMICROELECTRONICS
Can any of the company-specific risk be diversified away by investing in both Globex Mining and STMICROELECTRONICS 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 Globex Mining and STMICROELECTRONICS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Globex Mining Enterprises and STMICROELECTRONICS, you can compare the effects of market volatilities on Globex Mining and STMICROELECTRONICS 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 Globex Mining with a short position of STMICROELECTRONICS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Globex Mining and STMICROELECTRONICS.
Diversification Opportunities for Globex Mining and STMICROELECTRONICS
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Globex and STMICROELECTRONICS is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Globex Mining Enterprises and STMICROELECTRONICS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMICROELECTRONICS and Globex Mining 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 Globex Mining Enterprises are associated (or correlated) with STMICROELECTRONICS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STMICROELECTRONICS has no effect on the direction of Globex Mining i.e., Globex Mining and STMICROELECTRONICS go up and down completely randomly.
Pair Corralation between Globex Mining and STMICROELECTRONICS
Assuming the 90 days trading horizon Globex Mining Enterprises is expected to generate 0.96 times more return on investment than STMICROELECTRONICS. However, Globex Mining Enterprises is 1.05 times less risky than STMICROELECTRONICS. It trades about 0.44 of its potential returns per unit of risk. STMICROELECTRONICS is currently generating about -0.06 per unit of risk. If you would invest 78.00 in Globex Mining Enterprises on October 30, 2024 and sell it today you would earn a total of 15.00 from holding Globex Mining Enterprises or generate 19.23% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Globex Mining Enterprises vs. STMICROELECTRONICS
Performance |
| Timeline |
| Globex Mining Enterprises |
| STMICROELECTRONICS |
Globex Mining and STMICROELECTRONICS Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Globex Mining and STMICROELECTRONICS
The main advantage of trading using opposite Globex Mining and STMICROELECTRONICS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Globex Mining position performs unexpectedly, STMICROELECTRONICS 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 STMICROELECTRONICS will offset losses from the drop in STMICROELECTRONICS's long position.| Globex Mining vs. Apple Inc | Globex Mining vs. Apple Inc | Globex Mining vs. Apple Inc | Globex Mining vs. Apple Inc |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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