Correlation Between China Construction and Dr Peng
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By analyzing existing cross correlation between China Construction Bank and Dr Peng Telecom, you can compare the effects of market volatilities on China Construction and Dr Peng 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 Construction with a short position of Dr Peng. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Construction and Dr Peng.
Diversification Opportunities for China Construction and Dr Peng
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between China and 600804 is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding China Construction Bank and Dr Peng Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dr Peng Telecom and China Construction 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 Construction Bank are associated (or correlated) with Dr Peng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dr Peng Telecom has no effect on the direction of China Construction i.e., China Construction and Dr Peng go up and down completely randomly.
Pair Corralation between China Construction and Dr Peng
Assuming the 90 days trading horizon China Construction is expected to generate 2.53 times less return on investment than Dr Peng. But when comparing it to its historical volatility, China Construction Bank is 2.4 times less risky than Dr Peng. It trades about 0.15 of its potential returns per unit of risk. Dr Peng Telecom is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 154.00 in Dr Peng Telecom on September 16, 2024 and sell it today you would earn a total of 59.00 from holding Dr Peng Telecom or generate 38.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Construction Bank vs. Dr Peng Telecom
Performance |
Timeline |
China Construction Bank |
Dr Peng Telecom |
China Construction and Dr Peng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Construction and Dr Peng
The main advantage of trading using opposite China Construction and Dr Peng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Construction position performs unexpectedly, Dr Peng 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 Dr Peng will offset losses from the drop in Dr Peng's long position.The idea behind China Construction Bank and Dr Peng Telecom 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.
Dr Peng vs. Industrial and Commercial | Dr Peng vs. China Construction Bank | Dr Peng vs. Agricultural Bank of | Dr Peng vs. Bank of China |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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