Correlation Between STMicroelectronics and Townsquare Media
Can any of the company-specific risk be diversified away by investing in both STMicroelectronics and Townsquare Media 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 Townsquare Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STMicroelectronics NV and Townsquare Media, you can compare the effects of market volatilities on STMicroelectronics and Townsquare Media 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 Townsquare Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of STMicroelectronics and Townsquare Media.
Diversification Opportunities for STMicroelectronics and Townsquare Media
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between STMicroelectronics and Townsquare is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding STMicroelectronics NV and Townsquare Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Townsquare Media 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 Townsquare Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Townsquare Media has no effect on the direction of STMicroelectronics i.e., STMicroelectronics and Townsquare Media go up and down completely randomly.
Pair Corralation between STMicroelectronics and Townsquare Media
Assuming the 90 days horizon STMicroelectronics NV is expected to generate 1.28 times more return on investment than Townsquare Media. However, STMicroelectronics is 1.28 times more volatile than Townsquare Media. It trades about 0.25 of its potential returns per unit of risk. Townsquare Media is currently generating about 0.2 per unit of risk. If you would invest 1,800 in STMicroelectronics NV on April 21, 2025 and sell it today you would earn a total of 1,002 from holding STMicroelectronics NV or generate 55.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
STMicroelectronics NV vs. Townsquare Media
Performance |
Timeline |
STMicroelectronics |
Townsquare Media |
STMicroelectronics and Townsquare Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STMicroelectronics and Townsquare Media
The main advantage of trading using opposite STMicroelectronics and Townsquare Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STMicroelectronics position performs unexpectedly, Townsquare Media 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 Townsquare Media will offset losses from the drop in Townsquare Media's long position.STMicroelectronics vs. AIR LIQUIDE ADR | STMicroelectronics vs. ScanSource | STMicroelectronics vs. RESMINING UNSPADR10 | STMicroelectronics vs. URBAN OUTFITTERS |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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