Correlation Between Guangdong Cellwise and Hangzhou Zhongya
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By analyzing existing cross correlation between Guangdong Cellwise Microelectronics and Hangzhou Zhongya Machinery, you can compare the effects of market volatilities on Guangdong Cellwise and Hangzhou Zhongya 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 Guangdong Cellwise with a short position of Hangzhou Zhongya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangdong Cellwise and Hangzhou Zhongya.
Diversification Opportunities for Guangdong Cellwise and Hangzhou Zhongya
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Guangdong and Hangzhou is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Guangdong Cellwise Microelectr and Hangzhou Zhongya Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hangzhou Zhongya Mac and Guangdong Cellwise 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 Guangdong Cellwise Microelectronics are associated (or correlated) with Hangzhou Zhongya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hangzhou Zhongya Mac has no effect on the direction of Guangdong Cellwise i.e., Guangdong Cellwise and Hangzhou Zhongya go up and down completely randomly.
Pair Corralation between Guangdong Cellwise and Hangzhou Zhongya
Assuming the 90 days trading horizon Guangdong Cellwise Microelectronics is expected to generate 1.47 times more return on investment than Hangzhou Zhongya. However, Guangdong Cellwise is 1.47 times more volatile than Hangzhou Zhongya Machinery. It trades about 0.2 of its potential returns per unit of risk. Hangzhou Zhongya Machinery is currently generating about 0.15 per unit of risk. If you would invest 2,980 in Guangdong Cellwise Microelectronics on September 22, 2024 and sell it today you would earn a total of 2,391 from holding Guangdong Cellwise Microelectronics or generate 80.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Guangdong Cellwise Microelectr vs. Hangzhou Zhongya Machinery
Performance |
Timeline |
Guangdong Cellwise |
Hangzhou Zhongya Mac |
Guangdong Cellwise and Hangzhou Zhongya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangdong Cellwise and Hangzhou Zhongya
The main advantage of trading using opposite Guangdong Cellwise and Hangzhou Zhongya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangdong Cellwise position performs unexpectedly, Hangzhou Zhongya 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 Hangzhou Zhongya will offset losses from the drop in Hangzhou Zhongya's long position.Guangdong Cellwise vs. Nanjing Putian Telecommunications | Guangdong Cellwise vs. Tianjin Realty Development | Guangdong Cellwise vs. Kangyue Technology Co | Guangdong Cellwise vs. Shenzhen Hifuture Electric |
Hangzhou Zhongya vs. Industrial and Commercial | Hangzhou Zhongya vs. Kweichow Moutai Co | Hangzhou Zhongya vs. Agricultural Bank of | Hangzhou Zhongya vs. China Mobile Limited |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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