Correlation Between G2D Investments and STMicroelectronics
Can any of the company-specific risk be diversified away by investing in both G2D Investments 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 G2D Investments and STMicroelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between G2D Investments and STMicroelectronics NV, you can compare the effects of market volatilities on G2D Investments 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 G2D Investments with a short position of STMicroelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of G2D Investments and STMicroelectronics.
Diversification Opportunities for G2D Investments and STMicroelectronics
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between G2D and STMicroelectronics is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding G2D Investments and STMicroelectronics NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMicroelectronics and G2D Investments 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 G2D Investments 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 G2D Investments i.e., G2D Investments and STMicroelectronics go up and down completely randomly.
Pair Corralation between G2D Investments and STMicroelectronics
Assuming the 90 days trading horizon G2D Investments is expected to under-perform the STMicroelectronics. But the stock apears to be less risky and, when comparing its historical volatility, G2D Investments is 1.34 times less risky than STMicroelectronics. The stock trades about -0.05 of its potential returns per unit of risk. The STMicroelectronics NV is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 15,150 in STMicroelectronics NV on December 28, 2024 and sell it today you would lose (105.00) from holding STMicroelectronics NV or give up 0.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
G2D Investments vs. STMicroelectronics NV
Performance |
Timeline |
G2D Investments |
STMicroelectronics |
G2D Investments and STMicroelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with G2D Investments and STMicroelectronics
The main advantage of trading using opposite G2D Investments and STMicroelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if G2D Investments 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.G2D Investments vs. Deutsche Bank Aktiengesellschaft | G2D Investments vs. Fair Isaac | G2D Investments vs. SVB Financial Group | G2D Investments vs. Bank of America |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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