Correlation Between Ningxia Younglight and Hygon Information
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By analyzing existing cross correlation between Ningxia Younglight Chemicals and Hygon Information Technology, you can compare the effects of market volatilities on Ningxia Younglight and Hygon Information 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 Ningxia Younglight with a short position of Hygon Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningxia Younglight and Hygon Information.
Diversification Opportunities for Ningxia Younglight and Hygon Information
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ningxia and Hygon is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Ningxia Younglight Chemicals and Hygon Information Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hygon Information and Ningxia Younglight 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 Ningxia Younglight Chemicals are associated (or correlated) with Hygon Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hygon Information has no effect on the direction of Ningxia Younglight i.e., Ningxia Younglight and Hygon Information go up and down completely randomly.
Pair Corralation between Ningxia Younglight and Hygon Information
Assuming the 90 days trading horizon Ningxia Younglight is expected to generate 1.23 times less return on investment than Hygon Information. But when comparing it to its historical volatility, Ningxia Younglight Chemicals is 1.37 times less risky than Hygon Information. It trades about 0.22 of its potential returns per unit of risk. Hygon Information Technology is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 7,473 in Hygon Information Technology on September 18, 2024 and sell it today you would earn a total of 4,869 from holding Hygon Information Technology or generate 65.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ningxia Younglight Chemicals vs. Hygon Information Technology
Performance |
Timeline |
Ningxia Younglight |
Hygon Information |
Ningxia Younglight and Hygon Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningxia Younglight and Hygon Information
The main advantage of trading using opposite Ningxia Younglight and Hygon Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningxia Younglight position performs unexpectedly, Hygon Information 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 Hygon Information will offset losses from the drop in Hygon Information's long position.Ningxia Younglight vs. Xinjiang Baodi Mining | Ningxia Younglight vs. Peoples Insurance of | Ningxia Younglight vs. Fujian Oriental Silver | Ningxia Younglight vs. Tianjin Silvery Dragon |
Hygon Information vs. Changchun Faway Automobile | Hygon Information vs. Shenzhen Bioeasy Biotechnology | Hygon Information vs. Songz Automobile Air | Hygon Information vs. Ningxia Younglight Chemicals |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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