Correlation Between China Telecom and Hua Xia
Specify exactly 2 symbols:
By analyzing existing cross correlation between China Telecom Corp and Hua Xia Bank, you can compare the effects of market volatilities on China Telecom and Hua Xia 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 Telecom with a short position of Hua Xia. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Telecom and Hua Xia.
Diversification Opportunities for China Telecom and Hua Xia
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between China and Hua is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding China Telecom Corp and Hua Xia Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hua Xia Bank and China Telecom 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 Telecom Corp are associated (or correlated) with Hua Xia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hua Xia Bank has no effect on the direction of China Telecom i.e., China Telecom and Hua Xia go up and down completely randomly.
Pair Corralation between China Telecom and Hua Xia
Assuming the 90 days trading horizon China Telecom Corp is expected to generate 1.11 times more return on investment than Hua Xia. However, China Telecom is 1.11 times more volatile than Hua Xia Bank. It trades about 0.06 of its potential returns per unit of risk. Hua Xia Bank is currently generating about 0.04 per unit of risk. If you would invest 664.00 in China Telecom Corp on October 10, 2024 and sell it today you would earn a total of 36.00 from holding China Telecom Corp or generate 5.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
China Telecom Corp vs. Hua Xia Bank
Performance |
Timeline |
China Telecom Corp |
Hua Xia Bank |
China Telecom and Hua Xia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Telecom and Hua Xia
The main advantage of trading using opposite China Telecom and Hua Xia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Telecom position performs unexpectedly, Hua Xia 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 Hua Xia will offset losses from the drop in Hua Xia's long position.China Telecom vs. Dymatic Chemicals | China Telecom vs. Bloomage Biotechnology Corp | China Telecom vs. Liaoning Chengda Biotechnology | China Telecom vs. Wuhan Hvsen Biotechnology |
Hua Xia vs. Zhongshan Broad Ocean Motor | Hua Xia vs. Guangdong Jingyi Metal | Hua Xia vs. Shenyang Huitian Thermal | Hua Xia vs. Hubeiyichang Transportation Group |
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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
Other Complementary Tools
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Stocks Directory Find actively traded stocks across global markets | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |