Correlation Between Jiangyin Jianghua and Nantong Haixing
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By analyzing existing cross correlation between Jiangyin Jianghua Microelectronics and Nantong Haixing Electronics, you can compare the effects of market volatilities on Jiangyin Jianghua and Nantong Haixing 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 Nantong Haixing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiangyin Jianghua and Nantong Haixing.
Diversification Opportunities for Jiangyin Jianghua and Nantong Haixing
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jiangyin and Nantong is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Jiangyin Jianghua Microelectro and Nantong Haixing Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nantong Haixing Elec 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 Nantong Haixing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nantong Haixing Elec has no effect on the direction of Jiangyin Jianghua i.e., Jiangyin Jianghua and Nantong Haixing go up and down completely randomly.
Pair Corralation between Jiangyin Jianghua and Nantong Haixing
Assuming the 90 days trading horizon Jiangyin Jianghua Microelectronics is expected to generate 2.67 times more return on investment than Nantong Haixing. However, Jiangyin Jianghua is 2.67 times more volatile than Nantong Haixing Electronics. It trades about 0.04 of its potential returns per unit of risk. Nantong Haixing Electronics is currently generating about -0.04 per unit of risk. If you would invest 1,697 in Jiangyin Jianghua Microelectronics on September 20, 2024 and sell it today you would earn a total of 31.00 from holding Jiangyin Jianghua Microelectronics or generate 1.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jiangyin Jianghua Microelectro vs. Nantong Haixing Electronics
Performance |
Timeline |
Jiangyin Jianghua |
Nantong Haixing Elec |
Jiangyin Jianghua and Nantong Haixing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiangyin Jianghua and Nantong Haixing
The main advantage of trading using opposite Jiangyin Jianghua and Nantong Haixing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiangyin Jianghua position performs unexpectedly, Nantong Haixing 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 Nantong Haixing will offset losses from the drop in Nantong Haixing's long position.Jiangyin Jianghua vs. Nanjing Putian Telecommunications | Jiangyin Jianghua vs. Tianjin Realty Development | Jiangyin Jianghua vs. Kangyue Technology Co | Jiangyin Jianghua vs. Shenzhen Hifuture Electric |
Nantong Haixing vs. Industrial and Commercial | Nantong Haixing vs. Agricultural Bank of | Nantong Haixing vs. China Construction Bank | Nantong Haixing 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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