Correlation Between Winner Medical Co and Hangzhou Zhongya
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By analyzing existing cross correlation between Winner Medical Co and Hangzhou Zhongya Machinery, you can compare the effects of market volatilities on Winner Medical Co 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 Winner Medical Co with a short position of Hangzhou Zhongya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Winner Medical Co and Hangzhou Zhongya.
Diversification Opportunities for Winner Medical Co and Hangzhou Zhongya
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Winner and Hangzhou is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Winner Medical Co 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 Winner Medical Co 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 Winner Medical Co 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 Winner Medical Co i.e., Winner Medical Co and Hangzhou Zhongya go up and down completely randomly.
Pair Corralation between Winner Medical Co and Hangzhou Zhongya
Assuming the 90 days trading horizon Winner Medical Co is expected to generate 1.6 times less return on investment than Hangzhou Zhongya. But when comparing it to its historical volatility, Winner Medical Co is 1.23 times less risky than Hangzhou Zhongya. It trades about 0.06 of its potential returns per unit of risk. Hangzhou Zhongya Machinery is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 703.00 in Hangzhou Zhongya Machinery on December 30, 2024 and sell it today you would earn a total of 88.00 from holding Hangzhou Zhongya Machinery or generate 12.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Winner Medical Co vs. Hangzhou Zhongya Machinery
Performance |
Timeline |
Winner Medical Co |
Hangzhou Zhongya Mac |
Winner Medical Co and Hangzhou Zhongya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Winner Medical Co and Hangzhou Zhongya
The main advantage of trading using opposite Winner Medical Co and Hangzhou Zhongya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Winner Medical Co 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.The idea behind Winner Medical Co and Hangzhou Zhongya Machinery pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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