Correlation Between China Securities and Ningbo Construction
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By analyzing existing cross correlation between China Securities 800 and Ningbo Construction Co, you can compare the effects of market volatilities on China Securities and Ningbo Construction 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 China Securities with a short position of Ningbo Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Ningbo Construction.
Diversification Opportunities for China Securities and Ningbo Construction
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between China and Ningbo is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Ningbo Construction Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ningbo Construction and China Securities 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 China Securities 800 are associated (or correlated) with Ningbo Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ningbo Construction has no effect on the direction of China Securities i.e., China Securities and Ningbo Construction go up and down completely randomly.
Pair Corralation between China Securities and Ningbo Construction
Assuming the 90 days trading horizon China Securities is expected to generate 1.94 times less return on investment than Ningbo Construction. But when comparing it to its historical volatility, China Securities 800 is 1.59 times less risky than Ningbo Construction. It trades about 0.17 of its potential returns per unit of risk. Ningbo Construction Co is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 341.00 in Ningbo Construction Co on September 4, 2024 and sell it today you would earn a total of 167.00 from holding Ningbo Construction Co or generate 48.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
China Securities 800 vs. Ningbo Construction Co
Performance |
Timeline |
China Securities and Ningbo Construction Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Ningbo Construction Co
Pair trading matchups for Ningbo Construction
Pair Trading with China Securities and Ningbo Construction
The main advantage of trading using opposite China Securities and Ningbo Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Ningbo Construction 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 Ningbo Construction will offset losses from the drop in Ningbo Construction's long position.China Securities vs. Xiwang Foodstuffs Co | China Securities vs. Beijing Sanyuan Foods | China Securities vs. Xinjiang Tianrun Dairy | China Securities vs. GRINM Semiconductor Materials |
Ningbo Construction vs. China Life Insurance | Ningbo Construction vs. Cinda Securities Co | Ningbo Construction vs. Piotech Inc A | Ningbo Construction vs. Dongxing Sec Co |
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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