Correlation Between Gome Telecom and Guangdong Liantai
Specify exactly 2 symbols:
By analyzing existing cross correlation between Gome Telecom Equipment and Guangdong Liantai Environmental, you can compare the effects of market volatilities on Gome Telecom and Guangdong Liantai 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 Gome Telecom with a short position of Guangdong Liantai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gome Telecom and Guangdong Liantai.
Diversification Opportunities for Gome Telecom and Guangdong Liantai
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gome and Guangdong is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Gome Telecom Equipment and Guangdong Liantai Environmenta in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangdong Liantai and Gome 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 Gome Telecom Equipment are associated (or correlated) with Guangdong Liantai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangdong Liantai has no effect on the direction of Gome Telecom i.e., Gome Telecom and Guangdong Liantai go up and down completely randomly.
Pair Corralation between Gome Telecom and Guangdong Liantai
Assuming the 90 days trading horizon Gome Telecom is expected to generate 1.11 times less return on investment than Guangdong Liantai. In addition to that, Gome Telecom is 1.38 times more volatile than Guangdong Liantai Environmental. It trades about 0.13 of its total potential returns per unit of risk. Guangdong Liantai Environmental is currently generating about 0.2 per unit of volatility. If you would invest 318.00 in Guangdong Liantai Environmental on September 1, 2024 and sell it today you would earn a total of 112.00 from holding Guangdong Liantai Environmental or generate 35.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gome Telecom Equipment vs. Guangdong Liantai Environmenta
Performance |
Timeline |
Gome Telecom Equipment |
Guangdong Liantai |
Gome Telecom and Guangdong Liantai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gome Telecom and Guangdong Liantai
The main advantage of trading using opposite Gome Telecom and Guangdong Liantai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gome Telecom position performs unexpectedly, Guangdong Liantai 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 Guangdong Liantai will offset losses from the drop in Guangdong Liantai's long position.Gome Telecom vs. Broadex Technologies Co | Gome Telecom vs. Changchun Engley Automobile | Gome Telecom vs. Anhui Jianghuai Automobile | Gome Telecom vs. Chongqing Changan Automobile |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Other Complementary Tools
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |