Correlation Between Metro Investment and GigaDevice SemiconductorBei
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By analyzing existing cross correlation between Metro Investment Development and GigaDevice SemiconductorBeiji, you can compare the effects of market volatilities on Metro Investment and GigaDevice SemiconductorBei 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 Metro Investment with a short position of GigaDevice SemiconductorBei. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metro Investment and GigaDevice SemiconductorBei.
Diversification Opportunities for Metro Investment and GigaDevice SemiconductorBei
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Metro and GigaDevice is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Metro Investment Development and GigaDevice SemiconductorBeiji in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GigaDevice SemiconductorBei and Metro Investment 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 Metro Investment Development are associated (or correlated) with GigaDevice SemiconductorBei. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GigaDevice SemiconductorBei has no effect on the direction of Metro Investment i.e., Metro Investment and GigaDevice SemiconductorBei go up and down completely randomly.
Pair Corralation between Metro Investment and GigaDevice SemiconductorBei
Assuming the 90 days trading horizon Metro Investment Development is expected to under-perform the GigaDevice SemiconductorBei. But the stock apears to be less risky and, when comparing its historical volatility, Metro Investment Development is 1.02 times less risky than GigaDevice SemiconductorBei. The stock trades about -0.06 of its potential returns per unit of risk. The GigaDevice SemiconductorBeiji is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 9,721 in GigaDevice SemiconductorBeiji on October 5, 2024 and sell it today you would earn a total of 589.00 from holding GigaDevice SemiconductorBeiji or generate 6.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Metro Investment Development vs. GigaDevice SemiconductorBeiji
Performance |
Timeline |
Metro Investment Dev |
GigaDevice SemiconductorBei |
Metro Investment and GigaDevice SemiconductorBei Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metro Investment and GigaDevice SemiconductorBei
The main advantage of trading using opposite Metro Investment and GigaDevice SemiconductorBei positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metro Investment position performs unexpectedly, GigaDevice SemiconductorBei 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 GigaDevice SemiconductorBei will offset losses from the drop in GigaDevice SemiconductorBei's long position.Metro Investment vs. Kweichow Moutai Co | Metro Investment vs. Contemporary Amperex Technology | Metro Investment vs. G bits Network Technology | Metro Investment vs. Beijing Roborock Technology |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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