Correlation Between GigaDevice SemiconductorBei and Tianjin Pengling
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By analyzing existing cross correlation between GigaDevice SemiconductorBeiji and Tianjin Pengling Rubber, you can compare the effects of market volatilities on GigaDevice SemiconductorBei and Tianjin Pengling 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 Tianjin Pengling. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaDevice SemiconductorBei and Tianjin Pengling.
Diversification Opportunities for GigaDevice SemiconductorBei and Tianjin Pengling
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between GigaDevice and Tianjin is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding GigaDevice SemiconductorBeiji and Tianjin Pengling Rubber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tianjin Pengling Rubber 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 Tianjin Pengling. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tianjin Pengling Rubber has no effect on the direction of GigaDevice SemiconductorBei i.e., GigaDevice SemiconductorBei and Tianjin Pengling go up and down completely randomly.
Pair Corralation between GigaDevice SemiconductorBei and Tianjin Pengling
Assuming the 90 days trading horizon GigaDevice SemiconductorBei is expected to generate 1.42 times less return on investment than Tianjin Pengling. But when comparing it to its historical volatility, GigaDevice SemiconductorBeiji is 1.11 times less risky than Tianjin Pengling. It trades about 0.12 of its potential returns per unit of risk. Tianjin Pengling Rubber is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 394.00 in Tianjin Pengling Rubber on September 11, 2024 and sell it today you would earn a total of 138.00 from holding Tianjin Pengling Rubber or generate 35.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
GigaDevice SemiconductorBeiji vs. Tianjin Pengling Rubber
Performance |
Timeline |
GigaDevice SemiconductorBei |
Tianjin Pengling Rubber |
GigaDevice SemiconductorBei and Tianjin Pengling Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GigaDevice SemiconductorBei and Tianjin Pengling
The main advantage of trading using opposite GigaDevice SemiconductorBei and Tianjin Pengling positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GigaDevice SemiconductorBei position performs unexpectedly, Tianjin Pengling 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 Tianjin Pengling will offset losses from the drop in Tianjin Pengling's long position.GigaDevice SemiconductorBei vs. PetroChina Co Ltd | GigaDevice SemiconductorBei vs. China Mobile Limited | GigaDevice SemiconductorBei vs. CNOOC Limited | GigaDevice SemiconductorBei vs. Ping An Insurance |
Tianjin Pengling vs. Focus Media Information | Tianjin Pengling vs. China World Trade | Tianjin Pengling vs. Guangzhou Ruoyuchen Information | Tianjin Pengling vs. Zhangjiagang Freetrade Science |
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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