Correlation Between Guangzhou Seagull and G-bits Network
Specify exactly 2 symbols:
By analyzing existing cross correlation between Guangzhou Seagull Kitchen and G bits Network Technology, you can compare the effects of market volatilities on Guangzhou Seagull and G-bits Network 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 Guangzhou Seagull with a short position of G-bits Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangzhou Seagull and G-bits Network.
Diversification Opportunities for Guangzhou Seagull and G-bits Network
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Guangzhou and G-bits is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Guangzhou Seagull Kitchen 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 Guangzhou Seagull 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 Guangzhou Seagull Kitchen are associated (or correlated) with G-bits Network. 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 Guangzhou Seagull i.e., Guangzhou Seagull and G-bits Network go up and down completely randomly.
Pair Corralation between Guangzhou Seagull and G-bits Network
Assuming the 90 days trading horizon Guangzhou Seagull Kitchen is expected to under-perform the G-bits Network. In addition to that, Guangzhou Seagull is 1.22 times more volatile than G bits Network Technology. It trades about -0.02 of its total potential returns per unit of risk. G bits Network Technology is currently generating about 0.02 per unit of volatility. If you would invest 21,311 in G bits Network Technology on November 9, 2024 and sell it today you would earn a total of 1,387 from holding G bits Network Technology or generate 6.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Guangzhou Seagull Kitchen vs. G bits Network Technology
Performance |
Timeline |
Guangzhou Seagull Kitchen |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
G bits Network |
Risk-Adjusted Performance
Weak
Weak | Strong |
Guangzhou Seagull and G-bits Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangzhou Seagull and G-bits Network
The main advantage of trading using opposite Guangzhou Seagull and G-bits Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangzhou Seagull position performs unexpectedly, G-bits Network 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 Network will offset losses from the drop in G-bits Network's long position.The idea behind Guangzhou Seagull Kitchen 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.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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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