Correlation Between Northking Information and Zhejiang JIULI
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By analyzing existing cross correlation between Northking Information Technology and Zhejiang JIULI Hi tech, you can compare the effects of market volatilities on Northking Information and Zhejiang JIULI 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 Northking Information with a short position of Zhejiang JIULI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northking Information and Zhejiang JIULI.
Diversification Opportunities for Northking Information and Zhejiang JIULI
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Northking and Zhejiang is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Northking Information Technolo and Zhejiang JIULI Hi tech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhejiang JIULI Hi and Northking Information 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 Northking Information Technology are associated (or correlated) with Zhejiang JIULI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhejiang JIULI Hi has no effect on the direction of Northking Information i.e., Northking Information and Zhejiang JIULI go up and down completely randomly.
Pair Corralation between Northking Information and Zhejiang JIULI
Assuming the 90 days trading horizon Northking Information Technology is expected to generate 1.62 times more return on investment than Zhejiang JIULI. However, Northking Information is 1.62 times more volatile than Zhejiang JIULI Hi tech. It trades about 0.04 of its potential returns per unit of risk. Zhejiang JIULI Hi tech is currently generating about 0.05 per unit of risk. If you would invest 1,272 in Northking Information Technology on September 20, 2024 and sell it today you would earn a total of 251.00 from holding Northking Information Technology or generate 19.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Northking Information Technolo vs. Zhejiang JIULI Hi tech
Performance |
Timeline |
Northking Information |
Zhejiang JIULI Hi |
Northking Information and Zhejiang JIULI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northking Information and Zhejiang JIULI
The main advantage of trading using opposite Northking Information and Zhejiang JIULI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northking Information position performs unexpectedly, Zhejiang JIULI 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 Zhejiang JIULI will offset losses from the drop in Zhejiang JIULI's long position.The idea behind Northking Information Technology and Zhejiang JIULI Hi tech 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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