Correlation Between GigaDevice SemiconductorBei and Ping An
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By analyzing existing cross correlation between GigaDevice SemiconductorBeiji and Ping An Insurance, you can compare the effects of market volatilities on GigaDevice SemiconductorBei and Ping An 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 Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaDevice SemiconductorBei and Ping An.
Diversification Opportunities for GigaDevice SemiconductorBei and Ping An
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GigaDevice and Ping is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding GigaDevice SemiconductorBeiji and Ping An Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ping An Insurance 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 Ping An. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ping An Insurance has no effect on the direction of GigaDevice SemiconductorBei i.e., GigaDevice SemiconductorBei and Ping An go up and down completely randomly.
Pair Corralation between GigaDevice SemiconductorBei and Ping An
Assuming the 90 days trading horizon GigaDevice SemiconductorBeiji is expected to generate 1.67 times more return on investment than Ping An. However, GigaDevice SemiconductorBei is 1.67 times more volatile than Ping An Insurance. It trades about 0.01 of its potential returns per unit of risk. Ping An Insurance is currently generating about 0.01 per unit of risk. If you would invest 12,196 in GigaDevice SemiconductorBeiji on October 11, 2024 and sell it today you would lose (731.00) from holding GigaDevice SemiconductorBeiji or give up 5.99% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
GigaDevice SemiconductorBeiji vs. Ping An Insurance
Performance |
| Timeline |
| GigaDevice SemiconductorBei |
| Ping An Insurance |
GigaDevice SemiconductorBei and Ping An Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GigaDevice SemiconductorBei and Ping An
The main advantage of trading using opposite GigaDevice SemiconductorBei and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GigaDevice SemiconductorBei position performs unexpectedly, Ping An 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 Ping An will offset losses from the drop in Ping An's long position.The idea behind GigaDevice SemiconductorBeiji and Ping An Insurance 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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