Correlation Between Northking Information and Jiangyin Jianghua
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By analyzing existing cross correlation between Northking Information Technology and Jiangyin Jianghua Microelectronics, you can compare the effects of market volatilities on Northking Information and Jiangyin Jianghua 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 Jiangyin Jianghua. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northking Information and Jiangyin Jianghua.
Diversification Opportunities for Northking Information and Jiangyin Jianghua
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Northking and Jiangyin is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Northking Information Technolo and Jiangyin Jianghua Microelectro in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangyin Jianghua 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 Jiangyin Jianghua. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangyin Jianghua has no effect on the direction of Northking Information i.e., Northking Information and Jiangyin Jianghua go up and down completely randomly.
Pair Corralation between Northking Information and Jiangyin Jianghua
Assuming the 90 days trading horizon Northking Information Technology is expected to generate 1.5 times more return on investment than Jiangyin Jianghua. However, Northking Information is 1.5 times more volatile than Jiangyin Jianghua Microelectronics. It trades about 0.18 of its potential returns per unit of risk. Jiangyin Jianghua Microelectronics is currently generating about -0.02 per unit of risk. If you would invest 1,552 in Northking Information Technology on December 8, 2024 and sell it today you would earn a total of 658.00 from holding Northking Information Technology or generate 42.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Northking Information Technolo vs. Jiangyin Jianghua Microelectro
Performance |
Timeline |
Northking Information |
Jiangyin Jianghua |
Northking Information and Jiangyin Jianghua Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northking Information and Jiangyin Jianghua
The main advantage of trading using opposite Northking Information and Jiangyin Jianghua positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northking Information position performs unexpectedly, Jiangyin Jianghua 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 Jiangyin Jianghua will offset losses from the drop in Jiangyin Jianghua's long position.Northking Information vs. Agricultural Bank of | Northking Information vs. Shengtak New Material | Northking Information vs. Lecron Energy Saving | Northking Information vs. China Everbright Bank |
Jiangyin Jianghua vs. Bank of Suzhou | Jiangyin Jianghua vs. Yankershop Food Co | Jiangyin Jianghua vs. Lander Sports Development | Jiangyin Jianghua vs. Shenwu Energy Saving |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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