Correlation Between Zhangzhou Pientzehuang and China Citic
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By analyzing existing cross correlation between Zhangzhou Pientzehuang Pharmaceutical and China Citic Bank, you can compare the effects of market volatilities on Zhangzhou Pientzehuang 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 Zhangzhou Pientzehuang with a short position of China Citic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhangzhou Pientzehuang and China Citic.
Diversification Opportunities for Zhangzhou Pientzehuang and China Citic
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Zhangzhou and China is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Zhangzhou Pientzehuang Pharmac 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 Zhangzhou Pientzehuang 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 Zhangzhou Pientzehuang Pharmaceutical 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 Zhangzhou Pientzehuang i.e., Zhangzhou Pientzehuang and China Citic go up and down completely randomly.
Pair Corralation between Zhangzhou Pientzehuang and China Citic
Assuming the 90 days trading horizon Zhangzhou Pientzehuang Pharmaceutical is expected to generate 1.36 times more return on investment than China Citic. However, Zhangzhou Pientzehuang is 1.36 times more volatile than China Citic Bank. It trades about 0.09 of its potential returns per unit of risk. China Citic Bank is currently generating about 0.11 per unit of risk. If you would invest 20,405 in Zhangzhou Pientzehuang Pharmaceutical on September 3, 2024 and sell it today you would earn a total of 2,906 from holding Zhangzhou Pientzehuang Pharmaceutical or generate 14.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Zhangzhou Pientzehuang Pharmac vs. China Citic Bank
Performance |
Timeline |
Zhangzhou Pientzehuang |
China Citic Bank |
Zhangzhou Pientzehuang and China Citic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhangzhou Pientzehuang and China Citic
The main advantage of trading using opposite Zhangzhou Pientzehuang and China Citic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhangzhou Pientzehuang 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.The idea behind Zhangzhou Pientzehuang Pharmaceutical and China Citic Bank pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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