Correlation Between Ningxia Younglight and Guangzhou Automobile
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By analyzing existing cross correlation between Ningxia Younglight Chemicals and Guangzhou Automobile Group, you can compare the effects of market volatilities on Ningxia Younglight and Guangzhou Automobile 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 Guangzhou Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningxia Younglight and Guangzhou Automobile.
Diversification Opportunities for Ningxia Younglight and Guangzhou Automobile
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ningxia and Guangzhou is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Ningxia Younglight Chemicals and Guangzhou Automobile Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou Automobile 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 Guangzhou Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou Automobile has no effect on the direction of Ningxia Younglight i.e., Ningxia Younglight and Guangzhou Automobile go up and down completely randomly.
Pair Corralation between Ningxia Younglight and Guangzhou Automobile
Assuming the 90 days trading horizon Ningxia Younglight Chemicals is expected to under-perform the Guangzhou Automobile. In addition to that, Ningxia Younglight is 1.2 times more volatile than Guangzhou Automobile Group. It trades about -0.06 of its total potential returns per unit of risk. Guangzhou Automobile Group is currently generating about -0.06 per unit of volatility. If you would invest 972.00 in Guangzhou Automobile Group on December 1, 2024 and sell it today you would lose (98.00) from holding Guangzhou Automobile Group or give up 10.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ningxia Younglight Chemicals vs. Guangzhou Automobile Group
Performance |
Timeline |
Ningxia Younglight |
Guangzhou Automobile |
Ningxia Younglight and Guangzhou Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningxia Younglight and Guangzhou Automobile
The main advantage of trading using opposite Ningxia Younglight and Guangzhou Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningxia Younglight position performs unexpectedly, Guangzhou Automobile 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 Guangzhou Automobile will offset losses from the drop in Guangzhou Automobile's long position.Ningxia Younglight vs. Jiangsu Jinling Sports | Ningxia Younglight vs. Shanghai CEO Environmental | Ningxia Younglight vs. Shenzhen Zqgame | Ningxia Younglight vs. Chengdu Spaceon Electronics |
Guangzhou Automobile vs. Shengda Mining Co | Guangzhou Automobile vs. Peoples Insurance of | Guangzhou Automobile vs. Beijing Kingsoft Office | Guangzhou Automobile vs. Sanbo Hospital Management |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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