Correlation Between Beijing Roborock and Jiangnan Mould
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By analyzing existing cross correlation between Beijing Roborock Technology and Jiangnan Mould Plastic, you can compare the effects of market volatilities on Beijing Roborock and Jiangnan Mould 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 Beijing Roborock with a short position of Jiangnan Mould. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing Roborock and Jiangnan Mould.
Diversification Opportunities for Beijing Roborock and Jiangnan Mould
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Beijing and Jiangnan is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Beijing Roborock Technology and Jiangnan Mould Plastic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangnan Mould Plastic and Beijing Roborock 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 Beijing Roborock Technology are associated (or correlated) with Jiangnan Mould. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangnan Mould Plastic has no effect on the direction of Beijing Roborock i.e., Beijing Roborock and Jiangnan Mould go up and down completely randomly.
Pair Corralation between Beijing Roborock and Jiangnan Mould
Assuming the 90 days trading horizon Beijing Roborock Technology is expected to under-perform the Jiangnan Mould. In addition to that, Beijing Roborock is 1.55 times more volatile than Jiangnan Mould Plastic. It trades about -0.05 of its total potential returns per unit of risk. Jiangnan Mould Plastic is currently generating about 0.21 per unit of volatility. If you would invest 654.00 in Jiangnan Mould Plastic on November 7, 2024 and sell it today you would earn a total of 37.00 from holding Jiangnan Mould Plastic or generate 5.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Beijing Roborock Technology vs. Jiangnan Mould Plastic
Performance |
Timeline |
Beijing Roborock Tec |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Insignificant
Jiangnan Mould Plastic |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Beijing Roborock and Jiangnan Mould Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beijing Roborock and Jiangnan Mould
The main advantage of trading using opposite Beijing Roborock and Jiangnan Mould positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing Roborock position performs unexpectedly, Jiangnan Mould 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 Jiangnan Mould will offset losses from the drop in Jiangnan Mould's long position.The idea behind Beijing Roborock Technology and Jiangnan Mould Plastic 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.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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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