Correlation Between Zhongtong Guomai and Shanghai Metersbonwe
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By analyzing existing cross correlation between Zhongtong Guomai Communication and Shanghai Metersbonwe FashionAccessories, you can compare the effects of market volatilities on Zhongtong Guomai and Shanghai Metersbonwe 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 Zhongtong Guomai with a short position of Shanghai Metersbonwe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhongtong Guomai and Shanghai Metersbonwe.
Diversification Opportunities for Zhongtong Guomai and Shanghai Metersbonwe
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Zhongtong and Shanghai is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Zhongtong Guomai Communication and Shanghai Metersbonwe FashionAc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Metersbonwe and Zhongtong Guomai 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 Zhongtong Guomai Communication are associated (or correlated) with Shanghai Metersbonwe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Metersbonwe has no effect on the direction of Zhongtong Guomai i.e., Zhongtong Guomai and Shanghai Metersbonwe go up and down completely randomly.
Pair Corralation between Zhongtong Guomai and Shanghai Metersbonwe
Assuming the 90 days trading horizon Zhongtong Guomai Communication is expected to under-perform the Shanghai Metersbonwe. But the stock apears to be less risky and, when comparing its historical volatility, Zhongtong Guomai Communication is 2.08 times less risky than Shanghai Metersbonwe. The stock trades about -0.22 of its potential returns per unit of risk. The Shanghai Metersbonwe FashionAccessories is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 174.00 in Shanghai Metersbonwe FashionAccessories on September 20, 2024 and sell it today you would earn a total of 67.00 from holding Shanghai Metersbonwe FashionAccessories or generate 38.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Zhongtong Guomai Communication vs. Shanghai Metersbonwe FashionAc
Performance |
Timeline |
Zhongtong Guomai Com |
Shanghai Metersbonwe |
Zhongtong Guomai and Shanghai Metersbonwe Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhongtong Guomai and Shanghai Metersbonwe
The main advantage of trading using opposite Zhongtong Guomai and Shanghai Metersbonwe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhongtong Guomai position performs unexpectedly, Shanghai Metersbonwe 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 Shanghai Metersbonwe will offset losses from the drop in Shanghai Metersbonwe's long position.The idea behind Zhongtong Guomai Communication and Shanghai Metersbonwe FashionAccessories 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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