Correlation Between City Development and Dr Peng
Specify exactly 2 symbols:
By analyzing existing cross correlation between City Development Environment and Dr Peng Telecom, you can compare the effects of market volatilities on City Development 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 City Development with a short position of Dr Peng. Check out your portfolio center. Please also check ongoing floating volatility patterns of City Development and Dr Peng.
Diversification Opportunities for City Development and Dr Peng
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between City and 600804 is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding City Development Environment 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 City Development 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 City Development Environment 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 City Development i.e., City Development and Dr Peng go up and down completely randomly.
Pair Corralation between City Development and Dr Peng
Assuming the 90 days trading horizon City Development Environment is expected to generate 0.36 times more return on investment than Dr Peng. However, City Development Environment is 2.78 times less risky than Dr Peng. It trades about 0.01 of its potential returns per unit of risk. Dr Peng Telecom is currently generating about -0.02 per unit of risk. If you would invest 1,322 in City Development Environment on December 24, 2024 and sell it today you would earn a total of 0.00 from holding City Development Environment or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
City Development Environment vs. Dr Peng Telecom
Performance |
Timeline |
City Development Env |
Dr Peng Telecom |
City Development and Dr Peng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City Development and Dr Peng
The main advantage of trading using opposite City Development and Dr Peng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City Development 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.City Development vs. Mingchen Health Co | City Development vs. By health | City Development vs. Maccura Biotechnology Co | City Development vs. Shandong Sanyuan Biotechnology |
Dr Peng vs. Zotye Automobile Co | Dr Peng vs. SI TECH Information Technology | Dr Peng vs. Biwin Storage Technology | Dr Peng vs. Digital China Information |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Complementary Tools
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |