Correlation Between Jiangyin Jianghua and Eastern Communications
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By analyzing existing cross correlation between Jiangyin Jianghua Microelectronics and Eastern Communications Co, you can compare the effects of market volatilities on Jiangyin Jianghua and Eastern 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 Jiangyin Jianghua with a short position of Eastern Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiangyin Jianghua and Eastern Communications.
Diversification Opportunities for Jiangyin Jianghua and Eastern Communications
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jiangyin and Eastern is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Jiangyin Jianghua Microelectro and Eastern Communications Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eastern Communications and Jiangyin Jianghua 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 Jiangyin Jianghua Microelectronics are associated (or correlated) with Eastern Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eastern Communications has no effect on the direction of Jiangyin Jianghua i.e., Jiangyin Jianghua and Eastern Communications go up and down completely randomly.
Pair Corralation between Jiangyin Jianghua and Eastern Communications
Assuming the 90 days trading horizon Jiangyin Jianghua Microelectronics is expected to under-perform the Eastern Communications. In addition to that, Jiangyin Jianghua is 1.27 times more volatile than Eastern Communications Co. It trades about -0.04 of its total potential returns per unit of risk. Eastern Communications Co is currently generating about -0.03 per unit of volatility. If you would invest 43.00 in Eastern Communications Co on December 4, 2024 and sell it today you would lose (2.00) from holding Eastern Communications Co or give up 4.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.28% |
Values | Daily Returns |
Jiangyin Jianghua Microelectro vs. Eastern Communications Co
Performance |
Timeline |
Jiangyin Jianghua |
Eastern Communications |
Jiangyin Jianghua and Eastern Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiangyin Jianghua and Eastern Communications
The main advantage of trading using opposite Jiangyin Jianghua and Eastern Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiangyin Jianghua position performs unexpectedly, Eastern 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 Eastern Communications will offset losses from the drop in Eastern Communications' long position.Jiangyin Jianghua vs. Guizhou Chanhen Chemical | Jiangyin Jianghua vs. Nanjing Vishee Medical | Jiangyin Jianghua vs. Guangdong Transtek Medical | Jiangyin Jianghua vs. Nantong JiangTian Chemical |
Eastern Communications vs. Pengxin International Mining | Eastern Communications vs. Western Mining Co | Eastern Communications vs. Chengtun Mining Group | Eastern Communications vs. Zhengzhou Coal Mining |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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