Correlation Between Hangzhou Zhongya and Beijing Roborock
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By analyzing existing cross correlation between Hangzhou Zhongya Machinery and Beijing Roborock Technology, you can compare the effects of market volatilities on Hangzhou Zhongya and Beijing Roborock 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 Hangzhou Zhongya with a short position of Beijing Roborock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hangzhou Zhongya and Beijing Roborock.
Diversification Opportunities for Hangzhou Zhongya and Beijing Roborock
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hangzhou and Beijing is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Hangzhou Zhongya Machinery and Beijing Roborock Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Roborock Tec and Hangzhou Zhongya 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 Hangzhou Zhongya Machinery are associated (or correlated) with Beijing Roborock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Roborock Tec has no effect on the direction of Hangzhou Zhongya i.e., Hangzhou Zhongya and Beijing Roborock go up and down completely randomly.
Pair Corralation between Hangzhou Zhongya and Beijing Roborock
Assuming the 90 days trading horizon Hangzhou Zhongya Machinery is expected to under-perform the Beijing Roborock. But the stock apears to be less risky and, when comparing its historical volatility, Hangzhou Zhongya Machinery is 1.07 times less risky than Beijing Roborock. The stock trades about 0.0 of its potential returns per unit of risk. The Beijing Roborock Technology is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 29,505 in Beijing Roborock Technology on October 6, 2024 and sell it today you would lose (6,893) from holding Beijing Roborock Technology or give up 23.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hangzhou Zhongya Machinery vs. Beijing Roborock Technology
Performance |
Timeline |
Hangzhou Zhongya Mac |
Beijing Roborock Tec |
Hangzhou Zhongya and Beijing Roborock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hangzhou Zhongya and Beijing Roborock
The main advantage of trading using opposite Hangzhou Zhongya and Beijing Roborock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hangzhou Zhongya position performs unexpectedly, Beijing Roborock 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 Beijing Roborock will offset losses from the drop in Beijing Roborock's long position.Hangzhou Zhongya vs. Kweichow Moutai Co | Hangzhou Zhongya vs. Contemporary Amperex Technology | Hangzhou Zhongya vs. G bits Network Technology | Hangzhou Zhongya vs. BYD Co Ltd |
Beijing Roborock vs. Gem Year Industrial Co | Beijing Roborock vs. Chengtun Mining Group | Beijing Roborock vs. Hainan Mining Co | Beijing Roborock vs. Zhengzhou Coal Mining |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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