Correlation Between Qualcomm and STMicroelectronics
Can any of the company-specific risk be diversified away by investing in both Qualcomm 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 Qualcomm and STMicroelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qualcomm and STMicroelectronics NV, you can compare the effects of market volatilities on Qualcomm 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 Qualcomm with a short position of STMicroelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qualcomm and STMicroelectronics.
Diversification Opportunities for Qualcomm and STMicroelectronics
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Qualcomm and STMicroelectronics is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Qualcomm and STMicroelectronics NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMicroelectronics and Qualcomm 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 Qualcomm 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 Qualcomm i.e., Qualcomm and STMicroelectronics go up and down completely randomly.
Pair Corralation between Qualcomm and STMicroelectronics
Assuming the 90 days trading horizon Qualcomm is expected to generate 9.78 times less return on investment than STMicroelectronics. But when comparing it to its historical volatility, Qualcomm is 1.32 times less risky than STMicroelectronics. It trades about 0.01 of its potential returns per unit of risk. STMicroelectronics NV is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 15,001 in STMicroelectronics NV on April 20, 2025 and sell it today you would earn a total of 2,531 from holding STMicroelectronics NV or generate 16.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.8% |
Values | Daily Returns |
Qualcomm vs. STMicroelectronics NV
Performance |
Timeline |
Qualcomm |
STMicroelectronics |
Qualcomm and STMicroelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qualcomm and STMicroelectronics
The main advantage of trading using opposite Qualcomm and STMicroelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qualcomm 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' long position.Qualcomm vs. Molson Coors Beverage | Qualcomm vs. Zoom Video Communications | Qualcomm vs. Metalurgica Gerdau SA | Qualcomm vs. Marfrig Global 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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