Correlation Between PetroChina and Zhangzhou Pientzehuang
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By analyzing existing cross correlation between PetroChina Co Ltd and Zhangzhou Pientzehuang Pharmaceutical, you can compare the effects of market volatilities on PetroChina and Zhangzhou Pientzehuang 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 PetroChina with a short position of Zhangzhou Pientzehuang. Check out your portfolio center. Please also check ongoing floating volatility patterns of PetroChina and Zhangzhou Pientzehuang.
Diversification Opportunities for PetroChina and Zhangzhou Pientzehuang
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between PetroChina and Zhangzhou is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding PetroChina Co Ltd and Zhangzhou Pientzehuang Pharmac in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhangzhou Pientzehuang and PetroChina 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 PetroChina Co Ltd are associated (or correlated) with Zhangzhou Pientzehuang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhangzhou Pientzehuang has no effect on the direction of PetroChina i.e., PetroChina and Zhangzhou Pientzehuang go up and down completely randomly.
Pair Corralation between PetroChina and Zhangzhou Pientzehuang
Assuming the 90 days trading horizon PetroChina Co Ltd is expected to under-perform the Zhangzhou Pientzehuang. But the stock apears to be less risky and, when comparing its historical volatility, PetroChina Co Ltd is 1.34 times less risky than Zhangzhou Pientzehuang. The stock trades about -0.01 of its potential returns per unit of risk. The Zhangzhou Pientzehuang Pharmaceutical is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 20,266 in Zhangzhou Pientzehuang Pharmaceutical on September 4, 2024 and sell it today you would earn a total of 3,001 from holding Zhangzhou Pientzehuang Pharmaceutical or generate 14.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PetroChina Co Ltd vs. Zhangzhou Pientzehuang Pharmac
Performance |
Timeline |
PetroChina |
Zhangzhou Pientzehuang |
PetroChina and Zhangzhou Pientzehuang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PetroChina and Zhangzhou Pientzehuang
The main advantage of trading using opposite PetroChina and Zhangzhou Pientzehuang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PetroChina position performs unexpectedly, Zhangzhou Pientzehuang 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 Zhangzhou Pientzehuang will offset losses from the drop in Zhangzhou Pientzehuang's long position.PetroChina vs. Sichuan Hebang Biotechnology | PetroChina vs. Guangdong Marubi Biotechnology | PetroChina vs. Shandong Sanyuan Biotechnology | PetroChina vs. Bloomage Biotechnology Corp |
Zhangzhou Pientzehuang vs. Ningbo Thermal Power | Zhangzhou Pientzehuang vs. Humanwell Healthcare Group | Zhangzhou Pientzehuang vs. Hainan Mining Co | Zhangzhou Pientzehuang vs. Meinian Onehealth Healthcare |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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