Correlation Between GigaDevice SemiconductorBei and G Bits
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By analyzing existing cross correlation between GigaDevice SemiconductorBeiji and G bits Network Technology, you can compare the effects of market volatilities on GigaDevice SemiconductorBei and G Bits 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 G Bits. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaDevice SemiconductorBei and G Bits.
Diversification Opportunities for GigaDevice SemiconductorBei and G Bits
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GigaDevice and 603444 is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding GigaDevice SemiconductorBeiji and G bits Network Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G bits Network 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 G Bits. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G bits Network has no effect on the direction of GigaDevice SemiconductorBei i.e., GigaDevice SemiconductorBei and G Bits go up and down completely randomly.
Pair Corralation between GigaDevice SemiconductorBei and G Bits
Assuming the 90 days trading horizon GigaDevice SemiconductorBeiji is expected to generate 0.98 times more return on investment than G Bits. However, GigaDevice SemiconductorBeiji is 1.02 times less risky than G Bits. It trades about 0.15 of its potential returns per unit of risk. G bits Network Technology is currently generating about 0.11 per unit of risk. If you would invest 6,478 in GigaDevice SemiconductorBeiji on September 14, 2024 and sell it today you would earn a total of 1,975 from holding GigaDevice SemiconductorBeiji or generate 30.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GigaDevice SemiconductorBeiji vs. G bits Network Technology
Performance |
Timeline |
GigaDevice SemiconductorBei |
G bits Network |
GigaDevice SemiconductorBei and G Bits Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GigaDevice SemiconductorBei and G Bits
The main advantage of trading using opposite GigaDevice SemiconductorBei and G Bits positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GigaDevice SemiconductorBei position performs unexpectedly, G Bits 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 G Bits will offset losses from the drop in G Bits' long position.The idea behind GigaDevice SemiconductorBeiji and G bits Network Technology 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 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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