Correlation Between Shenzhen MYS and ZTE Corp
Specify exactly 2 symbols:
By analyzing existing cross correlation between Shenzhen MYS Environmental and ZTE Corp, you can compare the effects of market volatilities on Shenzhen MYS and ZTE Corp 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 Shenzhen MYS with a short position of ZTE Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen MYS and ZTE Corp.
Diversification Opportunities for Shenzhen MYS and ZTE Corp
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shenzhen and ZTE is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen MYS Environmental and ZTE Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZTE Corp and Shenzhen MYS 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 Shenzhen MYS Environmental are associated (or correlated) with ZTE Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZTE Corp has no effect on the direction of Shenzhen MYS i.e., Shenzhen MYS and ZTE Corp go up and down completely randomly.
Pair Corralation between Shenzhen MYS and ZTE Corp
Assuming the 90 days trading horizon Shenzhen MYS is expected to generate 1.04 times less return on investment than ZTE Corp. In addition to that, Shenzhen MYS is 1.06 times more volatile than ZTE Corp. It trades about 0.18 of its total potential returns per unit of risk. ZTE Corp is currently generating about 0.2 per unit of volatility. If you would invest 2,490 in ZTE Corp on September 23, 2024 and sell it today you would earn a total of 1,248 from holding ZTE Corp or generate 50.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shenzhen MYS Environmental vs. ZTE Corp
Performance |
Timeline |
Shenzhen MYS Environ |
ZTE Corp |
Shenzhen MYS and ZTE Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen MYS and ZTE Corp
The main advantage of trading using opposite Shenzhen MYS and ZTE Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen MYS position performs unexpectedly, ZTE Corp 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 ZTE Corp will offset losses from the drop in ZTE Corp's long position.Shenzhen MYS vs. Zijin Mining Group | Shenzhen MYS vs. Wanhua Chemical Group | Shenzhen MYS vs. Baoshan Iron Steel | Shenzhen MYS vs. Shandong Gold Mining |
ZTE Corp vs. Industrial and Commercial | ZTE Corp vs. Agricultural Bank of | ZTE Corp vs. China Construction Bank | ZTE Corp 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Other Complementary Tools
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |