Correlation Between Shenzhen Transsion and Guangzhou Seagull
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By analyzing existing cross correlation between Shenzhen Transsion Holdings and Guangzhou Seagull Kitchen, you can compare the effects of market volatilities on Shenzhen Transsion and Guangzhou Seagull 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 Transsion with a short position of Guangzhou Seagull. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Transsion and Guangzhou Seagull.
Diversification Opportunities for Shenzhen Transsion and Guangzhou Seagull
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Shenzhen and Guangzhou is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Transsion Holdings and Guangzhou Seagull Kitchen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou Seagull Kitchen and Shenzhen Transsion 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 Transsion Holdings are associated (or correlated) with Guangzhou Seagull. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou Seagull Kitchen has no effect on the direction of Shenzhen Transsion i.e., Shenzhen Transsion and Guangzhou Seagull go up and down completely randomly.
Pair Corralation between Shenzhen Transsion and Guangzhou Seagull
Assuming the 90 days trading horizon Shenzhen Transsion is expected to generate 1.02 times less return on investment than Guangzhou Seagull. In addition to that, Shenzhen Transsion is 1.15 times more volatile than Guangzhou Seagull Kitchen. It trades about 0.07 of its total potential returns per unit of risk. Guangzhou Seagull Kitchen is currently generating about 0.09 per unit of volatility. If you would invest 324.00 in Guangzhou Seagull Kitchen on September 22, 2024 and sell it today you would earn a total of 15.00 from holding Guangzhou Seagull Kitchen or generate 4.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shenzhen Transsion Holdings vs. Guangzhou Seagull Kitchen
Performance |
Timeline |
Shenzhen Transsion |
Guangzhou Seagull Kitchen |
Shenzhen Transsion and Guangzhou Seagull Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Transsion and Guangzhou Seagull
The main advantage of trading using opposite Shenzhen Transsion and Guangzhou Seagull positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Transsion position performs unexpectedly, Guangzhou Seagull 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 Guangzhou Seagull will offset losses from the drop in Guangzhou Seagull's long position.Shenzhen Transsion vs. Industrial and Commercial | Shenzhen Transsion vs. China Construction Bank | Shenzhen Transsion vs. Bank of China | Shenzhen Transsion vs. Agricultural Bank of |
Guangzhou Seagull vs. Kweichow Moutai Co | Guangzhou Seagull vs. Shenzhen Mindray Bio Medical | Guangzhou Seagull vs. Jiangsu Pacific Quartz | Guangzhou Seagull vs. G bits Network Technology |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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