Correlation Between Northking Information and Zhejiang Longsheng
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By analyzing existing cross correlation between Northking Information Technology and Zhejiang Longsheng Group, you can compare the effects of market volatilities on Northking Information and Zhejiang Longsheng 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 Longsheng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northking Information and Zhejiang Longsheng.
Diversification Opportunities for Northking Information and Zhejiang Longsheng
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Northking and Zhejiang is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Northking Information Technolo and Zhejiang Longsheng Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhejiang Longsheng 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 Longsheng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhejiang Longsheng has no effect on the direction of Northking Information i.e., Northking Information and Zhejiang Longsheng go up and down completely randomly.
Pair Corralation between Northking Information and Zhejiang Longsheng
Assuming the 90 days trading horizon Northking Information Technology is expected to generate 2.34 times more return on investment than Zhejiang Longsheng. However, Northking Information is 2.34 times more volatile than Zhejiang Longsheng Group. It trades about 0.09 of its potential returns per unit of risk. Zhejiang Longsheng Group is currently generating about 0.13 per unit of risk. If you would invest 1,094 in Northking Information Technology on September 19, 2024 and sell it today you would earn a total of 427.00 from holding Northking Information Technology or generate 39.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.18% |
Values | Daily Returns |
Northking Information Technolo vs. Zhejiang Longsheng Group
Performance |
Timeline |
Northking Information |
Zhejiang Longsheng |
Northking Information and Zhejiang Longsheng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northking Information and Zhejiang Longsheng
The main advantage of trading using opposite Northking Information and Zhejiang Longsheng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northking Information position performs unexpectedly, Zhejiang Longsheng 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 Longsheng will offset losses from the drop in Zhejiang Longsheng's long position.Northking Information vs. China Petroleum Chemical | Northking Information vs. PetroChina Co Ltd | Northking Information vs. China State Construction | Northking Information vs. China Railway Group |
Zhejiang Longsheng vs. Zhejiang Yayi Metal | Zhejiang Longsheng vs. Hefei Metalforming Mach | Zhejiang Longsheng vs. Northking Information Technology | Zhejiang Longsheng vs. Anhui Transport Consulting |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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