Correlation Between STMicroelectronics and SCIENCE IN
Can any of the company-specific risk be diversified away by investing in both STMicroelectronics and SCIENCE IN 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 SCIENCE IN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STMicroelectronics NV and SCIENCE IN SPORT, you can compare the effects of market volatilities on STMicroelectronics and SCIENCE IN 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 SCIENCE IN. Check out your portfolio center. Please also check ongoing floating volatility patterns of STMicroelectronics and SCIENCE IN.
Diversification Opportunities for STMicroelectronics and SCIENCE IN
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between STMicroelectronics and SCIENCE is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding STMicroelectronics NV and SCIENCE IN SPORT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCIENCE IN SPORT 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 SCIENCE IN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCIENCE IN SPORT has no effect on the direction of STMicroelectronics i.e., STMicroelectronics and SCIENCE IN go up and down completely randomly.
Pair Corralation between STMicroelectronics and SCIENCE IN
Assuming the 90 days horizon STMicroelectronics NV is expected to under-perform the SCIENCE IN. But the stock apears to be less risky and, when comparing its historical volatility, STMicroelectronics NV is 2.35 times less risky than SCIENCE IN. The stock trades about -0.02 of its potential returns per unit of risk. The SCIENCE IN SPORT is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 14.00 in SCIENCE IN SPORT on October 11, 2024 and sell it today you would earn a total of 15.00 from holding SCIENCE IN SPORT or generate 107.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
STMicroelectronics NV vs. SCIENCE IN SPORT
Performance |
Timeline |
STMicroelectronics |
SCIENCE IN SPORT |
STMicroelectronics and SCIENCE IN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STMicroelectronics and SCIENCE IN
The main advantage of trading using opposite STMicroelectronics and SCIENCE IN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STMicroelectronics position performs unexpectedly, SCIENCE IN 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 SCIENCE IN will offset losses from the drop in SCIENCE IN's long position.STMicroelectronics vs. TAL Education Group | STMicroelectronics vs. THRACE PLASTICS | STMicroelectronics vs. Summit Materials | STMicroelectronics vs. Heidelberg Materials AG |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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