Correlation Between Jiangyin Jianghua and Sharetronic Data
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By analyzing existing cross correlation between Jiangyin Jianghua Microelectronics and Sharetronic Data Technology, you can compare the effects of market volatilities on Jiangyin Jianghua and Sharetronic Data 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 Sharetronic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiangyin Jianghua and Sharetronic Data.
Diversification Opportunities for Jiangyin Jianghua and Sharetronic Data
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Jiangyin and Sharetronic is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Jiangyin Jianghua Microelectro and Sharetronic Data Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sharetronic Data Tec 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 Sharetronic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sharetronic Data Tec has no effect on the direction of Jiangyin Jianghua i.e., Jiangyin Jianghua and Sharetronic Data go up and down completely randomly.
Pair Corralation between Jiangyin Jianghua and Sharetronic Data
Assuming the 90 days trading horizon Jiangyin Jianghua is expected to generate 1.28 times less return on investment than Sharetronic Data. But when comparing it to its historical volatility, Jiangyin Jianghua Microelectronics is 1.73 times less risky than Sharetronic Data. It trades about 0.06 of its potential returns per unit of risk. Sharetronic Data Technology is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 10,685 in Sharetronic Data Technology on December 28, 2024 and sell it today you would earn a total of 721.00 from holding Sharetronic Data Technology or generate 6.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.28% |
Values | Daily Returns |
Jiangyin Jianghua Microelectro vs. Sharetronic Data Technology
Performance |
Timeline |
Jiangyin Jianghua |
Sharetronic Data Tec |
Jiangyin Jianghua and Sharetronic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiangyin Jianghua and Sharetronic Data
The main advantage of trading using opposite Jiangyin Jianghua and Sharetronic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiangyin Jianghua position performs unexpectedly, Sharetronic Data 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 Sharetronic Data will offset losses from the drop in Sharetronic Data's long position.Jiangyin Jianghua vs. GUOMAI Culture Media | Jiangyin Jianghua vs. Zhejiang Daily Media | Jiangyin Jianghua vs. Dalian Zeus Entertainment | Jiangyin Jianghua vs. COL Digital Publishing |
Sharetronic Data vs. Agricultural Bank of | Sharetronic Data vs. Industrial and Commercial | Sharetronic Data vs. Bank of China | Sharetronic Data vs. PetroChina Co Ltd |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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