Correlation Between Shenzhen Hifuture and Sichuan Chuantou
Specify exactly 2 symbols:
By analyzing existing cross correlation between Shenzhen Hifuture Electric and Sichuan Chuantou Energy, you can compare the effects of market volatilities on Shenzhen Hifuture and Sichuan Chuantou 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 Shenzhen Hifuture with a short position of Sichuan Chuantou. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Hifuture and Sichuan Chuantou.
Diversification Opportunities for Shenzhen Hifuture and Sichuan Chuantou
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Shenzhen and Sichuan is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Hifuture Electric and Sichuan Chuantou Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sichuan Chuantou Energy and Shenzhen Hifuture 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 Shenzhen Hifuture Electric are associated (or correlated) with Sichuan Chuantou. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sichuan Chuantou Energy has no effect on the direction of Shenzhen Hifuture i.e., Shenzhen Hifuture and Sichuan Chuantou go up and down completely randomly.
Pair Corralation between Shenzhen Hifuture and Sichuan Chuantou
Assuming the 90 days trading horizon Shenzhen Hifuture is expected to generate 11.92 times less return on investment than Sichuan Chuantou. In addition to that, Shenzhen Hifuture is 2.47 times more volatile than Sichuan Chuantou Energy. It trades about 0.0 of its total potential returns per unit of risk. Sichuan Chuantou Energy is currently generating about 0.06 per unit of volatility. If you would invest 1,189 in Sichuan Chuantou Energy on September 24, 2024 and sell it today you would earn a total of 519.00 from holding Sichuan Chuantou Energy or generate 43.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Shenzhen Hifuture Electric vs. Sichuan Chuantou Energy
Performance |
Timeline |
Shenzhen Hifuture |
Sichuan Chuantou Energy |
Shenzhen Hifuture and Sichuan Chuantou Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Hifuture and Sichuan Chuantou
The main advantage of trading using opposite Shenzhen Hifuture and Sichuan Chuantou positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Hifuture position performs unexpectedly, Sichuan Chuantou 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 Sichuan Chuantou will offset losses from the drop in Sichuan Chuantou's long position.Shenzhen Hifuture vs. Sinosteel Luonai Materials | Shenzhen Hifuture vs. Guangzhou KingTeller Technology | Shenzhen Hifuture vs. Sinofibers Technology Co | Shenzhen Hifuture vs. Guangzhou Restaurants Group |
Sichuan Chuantou vs. Chengdu Kanghua Biological | Sichuan Chuantou vs. Beijing Wantai Biological | Sichuan Chuantou vs. Suzhou Novoprotein Scientific | Sichuan Chuantou vs. Aluminum Corp of |
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 Stocks Directory module to find actively traded stocks across global markets.
Other Complementary Tools
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |