Correlation Between Ningxia Younglight and Jiangsu Pacific
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By analyzing existing cross correlation between Ningxia Younglight Chemicals and Jiangsu Pacific Quartz, you can compare the effects of market volatilities on Ningxia Younglight and Jiangsu Pacific 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 Jiangsu Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningxia Younglight and Jiangsu Pacific.
Diversification Opportunities for Ningxia Younglight and Jiangsu Pacific
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ningxia and Jiangsu is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Ningxia Younglight Chemicals and Jiangsu Pacific Quartz in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangsu Pacific Quartz 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 Jiangsu Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangsu Pacific Quartz has no effect on the direction of Ningxia Younglight i.e., Ningxia Younglight and Jiangsu Pacific go up and down completely randomly.
Pair Corralation between Ningxia Younglight and Jiangsu Pacific
Assuming the 90 days trading horizon Ningxia Younglight is expected to generate 4.11 times less return on investment than Jiangsu Pacific. But when comparing it to its historical volatility, Ningxia Younglight Chemicals is 1.64 times less risky than Jiangsu Pacific. It trades about 0.03 of its potential returns per unit of risk. Jiangsu Pacific Quartz is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 3,055 in Jiangsu Pacific Quartz on December 26, 2024 and sell it today you would earn a total of 291.00 from holding Jiangsu Pacific Quartz or generate 9.53% 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. Jiangsu Pacific Quartz
Performance |
Timeline |
Ningxia Younglight |
Jiangsu Pacific Quartz |
Ningxia Younglight and Jiangsu Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningxia Younglight and Jiangsu Pacific
The main advantage of trading using opposite Ningxia Younglight and Jiangsu Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningxia Younglight position performs unexpectedly, Jiangsu Pacific 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 Jiangsu Pacific will offset losses from the drop in Jiangsu Pacific's long position.Ningxia Younglight vs. COL Digital Publishing | Ningxia Younglight vs. Shanghai Yanpu Metal | Ningxia Younglight vs. Hengli Industrial Development | Ningxia Younglight vs. Jiangsu Phoenix Publishing |
Jiangsu Pacific vs. Zijin Mining Group | Jiangsu Pacific vs. Linkage Software Co | Jiangsu Pacific vs. Shengda Mining Co | Jiangsu Pacific vs. Thunder Software Technology |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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