Correlation Between STMicroelectronics and Dow Jones
Can any of the company-specific risk be diversified away by investing in both STMicroelectronics and Dow Jones 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 Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STMicroelectronics NV and Dow Jones Industrial, you can compare the effects of market volatilities on STMicroelectronics and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of STMicroelectronics and Dow Jones.
Diversification Opportunities for STMicroelectronics and Dow Jones
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between STMicroelectronics and Dow is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding STMicroelectronics NV and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of STMicroelectronics i.e., STMicroelectronics and Dow Jones go up and down completely randomly.
Pair Corralation between STMicroelectronics and Dow Jones
Assuming the 90 days trading horizon STMicroelectronics NV is expected to generate 3.57 times more return on investment than Dow Jones. However, STMicroelectronics is 3.57 times more volatile than Dow Jones Industrial. It trades about 0.19 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.25 per unit of risk. If you would invest 1,976 in STMicroelectronics NV on April 25, 2025 and sell it today you would earn a total of 721.00 from holding STMicroelectronics NV or generate 36.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
STMicroelectronics NV vs. Dow Jones Industrial
Performance |
Timeline |
STMicroelectronics and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
STMicroelectronics NV
Pair trading matchups for STMicroelectronics
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with STMicroelectronics and Dow Jones
The main advantage of trading using opposite STMicroelectronics and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STMicroelectronics position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.STMicroelectronics vs. SANTANDER UK 10 | STMicroelectronics vs. Coor Service Management | STMicroelectronics vs. Franklin FTSE Brazil | STMicroelectronics vs. Fidelity Sustainable USD |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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