Correlation Between Zhejiang Huatong and Wintao Communications
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By analyzing existing cross correlation between Zhejiang Huatong Meat and Wintao Communications Co, you can compare the effects of market volatilities on Zhejiang Huatong and Wintao Communications 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 Zhejiang Huatong with a short position of Wintao Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhejiang Huatong and Wintao Communications.
Diversification Opportunities for Zhejiang Huatong and Wintao Communications
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Zhejiang and Wintao is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Zhejiang Huatong Meat and Wintao Communications Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wintao Communications and Zhejiang Huatong 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 Zhejiang Huatong Meat are associated (or correlated) with Wintao Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wintao Communications has no effect on the direction of Zhejiang Huatong i.e., Zhejiang Huatong and Wintao Communications go up and down completely randomly.
Pair Corralation between Zhejiang Huatong and Wintao Communications
Assuming the 90 days trading horizon Zhejiang Huatong is expected to generate 1.03 times less return on investment than Wintao Communications. But when comparing it to its historical volatility, Zhejiang Huatong Meat is 1.01 times less risky than Wintao Communications. It trades about 0.15 of its potential returns per unit of risk. Wintao Communications Co is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,857 in Wintao Communications Co on September 21, 2024 and sell it today you would earn a total of 655.00 from holding Wintao Communications Co or generate 35.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Zhejiang Huatong Meat vs. Wintao Communications Co
Performance |
Timeline |
Zhejiang Huatong Meat |
Wintao Communications |
Zhejiang Huatong and Wintao Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhejiang Huatong and Wintao Communications
The main advantage of trading using opposite Zhejiang Huatong and Wintao Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhejiang Huatong position performs unexpectedly, Wintao Communications 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 Wintao Communications will offset losses from the drop in Wintao Communications' long position.Zhejiang Huatong vs. Olympic Circuit Technology | Zhejiang Huatong vs. INKON Life Technology | Zhejiang Huatong vs. Guangdong Jingyi Metal | Zhejiang Huatong vs. Gansu Yasheng Industrial |
Wintao Communications vs. Industrial and Commercial | Wintao Communications vs. China Construction Bank | Wintao Communications vs. Agricultural Bank of | Wintao Communications vs. Bank of China |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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