Correlation Between Guangzhou Restaurants and Shenzhen Hifuture
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By analyzing existing cross correlation between Guangzhou Restaurants Group and Shenzhen Hifuture Electric, you can compare the effects of market volatilities on Guangzhou Restaurants and Shenzhen Hifuture 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 Guangzhou Restaurants with a short position of Shenzhen Hifuture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangzhou Restaurants and Shenzhen Hifuture.
Diversification Opportunities for Guangzhou Restaurants and Shenzhen Hifuture
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guangzhou and Shenzhen is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Guangzhou Restaurants Group and Shenzhen Hifuture Electric in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Hifuture and Guangzhou Restaurants 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 Guangzhou Restaurants Group are associated (or correlated) with Shenzhen Hifuture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Hifuture has no effect on the direction of Guangzhou Restaurants i.e., Guangzhou Restaurants and Shenzhen Hifuture go up and down completely randomly.
Pair Corralation between Guangzhou Restaurants and Shenzhen Hifuture
Assuming the 90 days trading horizon Guangzhou Restaurants Group is expected to generate 0.48 times more return on investment than Shenzhen Hifuture. However, Guangzhou Restaurants Group is 2.07 times less risky than Shenzhen Hifuture. It trades about -0.57 of its potential returns per unit of risk. Shenzhen Hifuture Electric is currently generating about -0.36 per unit of risk. If you would invest 1,819 in Guangzhou Restaurants Group on October 13, 2024 and sell it today you would lose (319.00) from holding Guangzhou Restaurants Group or give up 17.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Guangzhou Restaurants Group vs. Shenzhen Hifuture Electric
Performance |
Timeline |
Guangzhou Restaurants |
Shenzhen Hifuture |
Guangzhou Restaurants and Shenzhen Hifuture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangzhou Restaurants and Shenzhen Hifuture
The main advantage of trading using opposite Guangzhou Restaurants and Shenzhen Hifuture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangzhou Restaurants position performs unexpectedly, Shenzhen Hifuture 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 Shenzhen Hifuture will offset losses from the drop in Shenzhen Hifuture's long position.The idea behind Guangzhou Restaurants Group and Shenzhen Hifuture Electric pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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