Correlation Between Chengdu Kanghua and Dr Peng
Specify exactly 2 symbols:
By analyzing existing cross correlation between Chengdu Kanghua Biological and Dr Peng Telecom, you can compare the effects of market volatilities on Chengdu Kanghua 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 Chengdu Kanghua with a short position of Dr Peng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chengdu Kanghua and Dr Peng.
Diversification Opportunities for Chengdu Kanghua and Dr Peng
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Chengdu and 600804 is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Chengdu Kanghua Biological 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 Chengdu Kanghua 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 Chengdu Kanghua Biological 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 Chengdu Kanghua i.e., Chengdu Kanghua and Dr Peng go up and down completely randomly.
Pair Corralation between Chengdu Kanghua and Dr Peng
Assuming the 90 days trading horizon Chengdu Kanghua is expected to generate 1.16 times less return on investment than Dr Peng. In addition to that, Chengdu Kanghua is 1.18 times more volatile than Dr Peng Telecom. It trades about 0.11 of its total potential returns per unit of risk. Dr Peng Telecom is currently generating about 0.15 per unit of volatility. If you would invest 144.00 in Dr Peng Telecom on September 23, 2024 and sell it today you would earn a total of 55.00 from holding Dr Peng Telecom or generate 38.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chengdu Kanghua Biological vs. Dr Peng Telecom
Performance |
Timeline |
Chengdu Kanghua Biol |
Dr Peng Telecom |
Chengdu Kanghua and Dr Peng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chengdu Kanghua and Dr Peng
The main advantage of trading using opposite Chengdu Kanghua and Dr Peng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chengdu Kanghua 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.Chengdu Kanghua vs. Industrial and Commercial | Chengdu Kanghua vs. Agricultural Bank of | Chengdu Kanghua vs. China Construction Bank | Chengdu Kanghua vs. Bank of China |
Dr Peng vs. Chengdu Kanghua Biological | Dr Peng vs. Beijing Wantai Biological | Dr Peng vs. Suzhou Novoprotein Scientific | Dr Peng vs. COL Digital Publishing |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Stocks Directory Find actively traded stocks across global markets | |
Fundamental Analysis View fundamental data based on most recent published financial statements |