Correlation Between STMicroelectronics and DXC Technology
Can any of the company-specific risk be diversified away by investing in both STMicroelectronics and DXC Technology 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 DXC Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STMicroelectronics NV and DXC Technology, you can compare the effects of market volatilities on STMicroelectronics and DXC Technology 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 DXC Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of STMicroelectronics and DXC Technology.
Diversification Opportunities for STMicroelectronics and DXC Technology
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between STMicroelectronics and DXC is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding STMicroelectronics NV and DXC Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DXC Technology 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 DXC Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DXC Technology has no effect on the direction of STMicroelectronics i.e., STMicroelectronics and DXC Technology go up and down completely randomly.
Pair Corralation between STMicroelectronics and DXC Technology
Assuming the 90 days trading horizon STMicroelectronics NV is expected to generate 1.62 times more return on investment than DXC Technology. However, STMicroelectronics is 1.62 times more volatile than DXC Technology. It trades about 0.24 of its potential returns per unit of risk. DXC Technology is currently generating about 0.0 per unit of risk. If you would invest 11,885 in STMicroelectronics NV on April 20, 2025 and sell it today you would earn a total of 5,647 from holding STMicroelectronics NV or generate 47.51% 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. DXC Technology
Performance |
Timeline |
STMicroelectronics |
DXC Technology |
STMicroelectronics and DXC Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STMicroelectronics and DXC Technology
The main advantage of trading using opposite STMicroelectronics and DXC Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STMicroelectronics position performs unexpectedly, DXC Technology 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 DXC Technology will offset losses from the drop in DXC Technology's long position.STMicroelectronics vs. Rbr Top Offices | STMicroelectronics vs. Taiwan Semiconductor Manufacturing | STMicroelectronics vs. Hormel Foods | STMicroelectronics vs. Tyson Foods |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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