Correlation Between Alfa Financial and STMicroelectronics
Can any of the company-specific risk be diversified away by investing in both Alfa Financial 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 Alfa Financial and STMicroelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alfa Financial Software and STMicroelectronics NV, you can compare the effects of market volatilities on Alfa Financial 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 Alfa Financial with a short position of STMicroelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alfa Financial and STMicroelectronics.
Diversification Opportunities for Alfa Financial and STMicroelectronics
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Alfa and STMicroelectronics is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Financial Software and STMicroelectronics NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMicroelectronics and Alfa Financial 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 Alfa Financial Software 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 Alfa Financial i.e., Alfa Financial and STMicroelectronics go up and down completely randomly.
Pair Corralation between Alfa Financial and STMicroelectronics
Assuming the 90 days trading horizon Alfa Financial Software is expected to generate 0.37 times more return on investment than STMicroelectronics. However, Alfa Financial Software is 2.72 times less risky than STMicroelectronics. It trades about 0.06 of its potential returns per unit of risk. STMicroelectronics NV is currently generating about -0.03 per unit of risk. If you would invest 18,710 in Alfa Financial Software on September 23, 2024 and sell it today you would earn a total of 2,840 from holding Alfa Financial Software or generate 15.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alfa Financial Software vs. STMicroelectronics NV
Performance |
Timeline |
Alfa Financial Software |
STMicroelectronics |
Alfa Financial and STMicroelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alfa Financial and STMicroelectronics
The main advantage of trading using opposite Alfa Financial and STMicroelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Financial 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.Alfa Financial vs. mobilezone holding AG | Alfa Financial vs. MTI Wireless Edge | Alfa Financial vs. Verizon Communications | Alfa Financial vs. Spirent Communications plc |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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