Correlation Between Allwin Telecommunicatio and Guangzhou Haige
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By analyzing existing cross correlation between Allwin Telecommunication Co and Guangzhou Haige Communications, you can compare the effects of market volatilities on Allwin Telecommunicatio and Guangzhou Haige 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 Allwin Telecommunicatio with a short position of Guangzhou Haige. Check out your portfolio center. Please also check ongoing floating volatility patterns of Allwin Telecommunicatio and Guangzhou Haige.
Diversification Opportunities for Allwin Telecommunicatio and Guangzhou Haige
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Allwin and Guangzhou is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Allwin Telecommunication Co and Guangzhou Haige Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou Haige Comm and Allwin Telecommunicatio 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 Allwin Telecommunication Co are associated (or correlated) with Guangzhou Haige. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou Haige Comm has no effect on the direction of Allwin Telecommunicatio i.e., Allwin Telecommunicatio and Guangzhou Haige go up and down completely randomly.
Pair Corralation between Allwin Telecommunicatio and Guangzhou Haige
Assuming the 90 days trading horizon Allwin Telecommunicatio is expected to generate 14.89 times less return on investment than Guangzhou Haige. In addition to that, Allwin Telecommunicatio is 1.41 times more volatile than Guangzhou Haige Communications. It trades about 0.0 of its total potential returns per unit of risk. Guangzhou Haige Communications is currently generating about 0.04 per unit of volatility. If you would invest 812.00 in Guangzhou Haige Communications on September 24, 2024 and sell it today you would earn a total of 382.00 from holding Guangzhou Haige Communications or generate 47.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Allwin Telecommunication Co vs. Guangzhou Haige Communications
Performance |
Timeline |
Allwin Telecommunicatio |
Guangzhou Haige Comm |
Allwin Telecommunicatio and Guangzhou Haige Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Allwin Telecommunicatio and Guangzhou Haige
The main advantage of trading using opposite Allwin Telecommunicatio and Guangzhou Haige positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Allwin Telecommunicatio position performs unexpectedly, Guangzhou Haige 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 Haige will offset losses from the drop in Guangzhou Haige's long position.Allwin Telecommunicatio vs. Industrial and Commercial | Allwin Telecommunicatio vs. Agricultural Bank of | Allwin Telecommunicatio vs. China Construction Bank | Allwin Telecommunicatio vs. Bank of China |
Guangzhou Haige vs. Industrial and Commercial | Guangzhou Haige vs. Agricultural Bank of | Guangzhou Haige vs. China Construction Bank | Guangzhou Haige 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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