Correlation Between PACIFIC ONLINE and STMicroelectronics
Can any of the company-specific risk be diversified away by investing in both PACIFIC ONLINE 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 PACIFIC ONLINE and STMicroelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PACIFIC ONLINE and STMicroelectronics NV, you can compare the effects of market volatilities on PACIFIC ONLINE 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 PACIFIC ONLINE with a short position of STMicroelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of PACIFIC ONLINE and STMicroelectronics.
Diversification Opportunities for PACIFIC ONLINE and STMicroelectronics
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between PACIFIC and STMicroelectronics is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding PACIFIC ONLINE and STMicroelectronics NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMicroelectronics and PACIFIC ONLINE 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 PACIFIC ONLINE 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 PACIFIC ONLINE i.e., PACIFIC ONLINE and STMicroelectronics go up and down completely randomly.
Pair Corralation between PACIFIC ONLINE and STMicroelectronics
If you would invest 15.00 in PACIFIC ONLINE on October 5, 2024 and sell it today you would earn a total of 0.00 from holding PACIFIC ONLINE or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PACIFIC ONLINE vs. STMicroelectronics NV
Performance |
Timeline |
PACIFIC ONLINE |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
STMicroelectronics |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
PACIFIC ONLINE and STMicroelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PACIFIC ONLINE and STMicroelectronics
The main advantage of trading using opposite PACIFIC ONLINE and STMicroelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PACIFIC ONLINE 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.The idea behind PACIFIC ONLINE and STMicroelectronics NV pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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