Correlation Between Cambricon Technologies and Shanghai Suochen
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By analyzing existing cross correlation between Cambricon Technologies Corp and Shanghai Suochen Information, you can compare the effects of market volatilities on Cambricon Technologies and Shanghai Suochen 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 Cambricon Technologies with a short position of Shanghai Suochen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cambricon Technologies and Shanghai Suochen.
Diversification Opportunities for Cambricon Technologies and Shanghai Suochen
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Cambricon and Shanghai is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Cambricon Technologies Corp and Shanghai Suochen Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Suochen Inf and Cambricon Technologies 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 Cambricon Technologies Corp are associated (or correlated) with Shanghai Suochen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Suochen Inf has no effect on the direction of Cambricon Technologies i.e., Cambricon Technologies and Shanghai Suochen go up and down completely randomly.
Pair Corralation between Cambricon Technologies and Shanghai Suochen
Assuming the 90 days trading horizon Cambricon Technologies Corp is expected to generate 1.34 times more return on investment than Shanghai Suochen. However, Cambricon Technologies is 1.34 times more volatile than Shanghai Suochen Information. It trades about 0.13 of its potential returns per unit of risk. Shanghai Suochen Information is currently generating about -0.02 per unit of risk. If you would invest 12,700 in Cambricon Technologies Corp on October 5, 2024 and sell it today you would earn a total of 51,862 from holding Cambricon Technologies Corp or generate 408.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cambricon Technologies Corp vs. Shanghai Suochen Information
Performance |
Timeline |
Cambricon Technologies |
Shanghai Suochen Inf |
Cambricon Technologies and Shanghai Suochen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cambricon Technologies and Shanghai Suochen
The main advantage of trading using opposite Cambricon Technologies and Shanghai Suochen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cambricon Technologies position performs unexpectedly, Shanghai Suochen 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 Shanghai Suochen will offset losses from the drop in Shanghai Suochen's long position.Cambricon Technologies vs. Gansu Jiu Steel | Cambricon Technologies vs. Changzhou Almaden Co | Cambricon Technologies vs. Aba Chemicals Corp | Cambricon Technologies vs. Hwabao WP CSI |
Shanghai Suochen vs. Beijing Sanyuan Foods | Shanghai Suochen vs. Zijin Mining Group | Shanghai Suochen vs. Shantou Wanshun Package | Shanghai Suochen vs. Muyuan Foodstuff Co |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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