Correlation Between Cangzhou Mingzhu and China Citic
Specify exactly 2 symbols:
By analyzing existing cross correlation between Cangzhou Mingzhu Plastic and China Citic Bank, you can compare the effects of market volatilities on Cangzhou Mingzhu and China Citic 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 Cangzhou Mingzhu with a short position of China Citic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cangzhou Mingzhu and China Citic.
Diversification Opportunities for Cangzhou Mingzhu and China Citic
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cangzhou and China is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Cangzhou Mingzhu Plastic and China Citic Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Citic Bank and Cangzhou Mingzhu 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 Cangzhou Mingzhu Plastic are associated (or correlated) with China Citic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Citic Bank has no effect on the direction of Cangzhou Mingzhu i.e., Cangzhou Mingzhu and China Citic go up and down completely randomly.
Pair Corralation between Cangzhou Mingzhu and China Citic
Assuming the 90 days trading horizon Cangzhou Mingzhu Plastic is expected to under-perform the China Citic. In addition to that, Cangzhou Mingzhu is 1.7 times more volatile than China Citic Bank. It trades about -0.03 of its total potential returns per unit of risk. China Citic Bank is currently generating about 0.02 per unit of volatility. If you would invest 673.00 in China Citic Bank on October 6, 2024 and sell it today you would earn a total of 6.00 from holding China Citic Bank or generate 0.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cangzhou Mingzhu Plastic vs. China Citic Bank
Performance |
Timeline |
Cangzhou Mingzhu Plastic |
China Citic Bank |
Cangzhou Mingzhu and China Citic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cangzhou Mingzhu and China Citic
The main advantage of trading using opposite Cangzhou Mingzhu and China Citic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cangzhou Mingzhu position performs unexpectedly, China Citic 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 China Citic will offset losses from the drop in China Citic's long position.Cangzhou Mingzhu vs. Linewell Software Co | Cangzhou Mingzhu vs. Southern PublishingMedia Co | Cangzhou Mingzhu vs. Zhangjiagang Freetrade Science | Cangzhou Mingzhu vs. Anhui Xinhua Media |
China Citic vs. Xiangyang Automobile Bearing | China Citic vs. Jiangsu Xinri E Vehicle | China Citic vs. CIMC Vehicles Co | China Citic vs. Songz Automobile Air |
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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |