Correlation Between STMicroelectronics and Legal General
Can any of the company-specific risk be diversified away by investing in both STMicroelectronics and Legal General 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 STMicroelectronics and Legal General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STMicroelectronics NV and Legal General Group, you can compare the effects of market volatilities on STMicroelectronics and Legal General 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 STMicroelectronics with a short position of Legal General. Check out your portfolio center. Please also check ongoing floating volatility patterns of STMicroelectronics and Legal General.
Diversification Opportunities for STMicroelectronics and Legal General
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between STMicroelectronics and Legal is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding STMicroelectronics NV and Legal General Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Legal General Group and STMicroelectronics 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 STMicroelectronics NV are associated (or correlated) with Legal General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Legal General Group has no effect on the direction of STMicroelectronics i.e., STMicroelectronics and Legal General go up and down completely randomly.
Pair Corralation between STMicroelectronics and Legal General
Assuming the 90 days trading horizon STMicroelectronics NV is expected to under-perform the Legal General. In addition to that, STMicroelectronics is 2.3 times more volatile than Legal General Group. It trades about -0.05 of its total potential returns per unit of risk. Legal General Group is currently generating about 0.1 per unit of volatility. If you would invest 22,680 in Legal General Group on December 27, 2024 and sell it today you would earn a total of 1,750 from holding Legal General Group or generate 7.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
STMicroelectronics NV vs. Legal General Group
Performance |
Timeline |
STMicroelectronics |
Legal General Group |
STMicroelectronics and Legal General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STMicroelectronics and Legal General
The main advantage of trading using opposite STMicroelectronics and Legal General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STMicroelectronics position performs unexpectedly, Legal General 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 Legal General will offset losses from the drop in Legal General's long position.STMicroelectronics vs. Aeorema Communications Plc | STMicroelectronics vs. Wheaton Precious Metals | STMicroelectronics vs. Sovereign Metals | STMicroelectronics vs. Neo Energy Metals |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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