Correlation Between China Nonferrous and GigaDevice SemiconductorBei
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By analyzing existing cross correlation between China Nonferrous Metal and GigaDevice SemiconductorBeiji, you can compare the effects of market volatilities on China Nonferrous 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 China Nonferrous with a short position of GigaDevice SemiconductorBei. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Nonferrous and GigaDevice SemiconductorBei.
Diversification Opportunities for China Nonferrous and GigaDevice SemiconductorBei
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and GigaDevice is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding China Nonferrous Metal and GigaDevice SemiconductorBeiji in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GigaDevice SemiconductorBei and China Nonferrous 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 China Nonferrous Metal 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 China Nonferrous i.e., China Nonferrous and GigaDevice SemiconductorBei go up and down completely randomly.
Pair Corralation between China Nonferrous and GigaDevice SemiconductorBei
Assuming the 90 days trading horizon China Nonferrous is expected to generate 5.26 times less return on investment than GigaDevice SemiconductorBei. But when comparing it to its historical volatility, China Nonferrous Metal is 1.38 times less risky than GigaDevice SemiconductorBei. It trades about 0.01 of its potential returns per unit of risk. GigaDevice SemiconductorBeiji is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 9,680 in GigaDevice SemiconductorBeiji on September 28, 2024 and sell it today you would earn a total of 1,820 from holding GigaDevice SemiconductorBeiji or generate 18.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Nonferrous Metal vs. GigaDevice SemiconductorBeiji
Performance |
Timeline |
China Nonferrous Metal |
GigaDevice SemiconductorBei |
China Nonferrous and GigaDevice SemiconductorBei Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Nonferrous and GigaDevice SemiconductorBei
The main advantage of trading using opposite China Nonferrous and GigaDevice SemiconductorBei positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Nonferrous 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.China Nonferrous vs. Zijin Mining Group | China Nonferrous vs. Wanhua Chemical Group | China Nonferrous vs. Baoshan Iron Steel | China Nonferrous vs. Shandong Gold Mining |
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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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