Correlation Between GigaDevice SemiconductorBei and Shandong
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By analyzing existing cross correlation between GigaDevice SemiconductorBeiji and Shandong Hi Speed RoadBridge, you can compare the effects of market volatilities on GigaDevice SemiconductorBei and Shandong 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 GigaDevice SemiconductorBei with a short position of Shandong. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaDevice SemiconductorBei and Shandong.
Diversification Opportunities for GigaDevice SemiconductorBei and Shandong
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GigaDevice and Shandong is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding GigaDevice SemiconductorBeiji and Shandong Hi Speed RoadBridge in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shandong Hi Speed and GigaDevice SemiconductorBei 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 GigaDevice SemiconductorBeiji are associated (or correlated) with Shandong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shandong Hi Speed has no effect on the direction of GigaDevice SemiconductorBei i.e., GigaDevice SemiconductorBei and Shandong go up and down completely randomly.
Pair Corralation between GigaDevice SemiconductorBei and Shandong
Assuming the 90 days trading horizon GigaDevice SemiconductorBeiji is expected to generate 1.65 times more return on investment than Shandong. However, GigaDevice SemiconductorBei is 1.65 times more volatile than Shandong Hi Speed RoadBridge. It trades about 0.1 of its potential returns per unit of risk. Shandong Hi Speed RoadBridge is currently generating about 0.01 per unit of risk. If you would invest 7,320 in GigaDevice SemiconductorBeiji on October 12, 2024 and sell it today you would earn a total of 4,970 from holding GigaDevice SemiconductorBeiji or generate 67.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GigaDevice SemiconductorBeiji vs. Shandong Hi Speed RoadBridge
Performance |
Timeline |
GigaDevice SemiconductorBei |
Shandong Hi Speed |
GigaDevice SemiconductorBei and Shandong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GigaDevice SemiconductorBei and Shandong
The main advantage of trading using opposite GigaDevice SemiconductorBei and Shandong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GigaDevice SemiconductorBei position performs unexpectedly, Shandong 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 Shandong will offset losses from the drop in Shandong's long position.The idea behind GigaDevice SemiconductorBeiji and Shandong Hi Speed RoadBridge 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.
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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