Correlation Between Hainan HNA and ZTE Corp
Specify exactly 2 symbols:
By analyzing existing cross correlation between Hainan HNA Infrastructure and ZTE Corp, you can compare the effects of market volatilities on Hainan HNA 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 Hainan HNA with a short position of ZTE Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hainan HNA and ZTE Corp.
Diversification Opportunities for Hainan HNA and ZTE Corp
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hainan and ZTE is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Hainan HNA Infrastructure and ZTE Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZTE Corp and Hainan HNA 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 Hainan HNA Infrastructure 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 Hainan HNA i.e., Hainan HNA and ZTE Corp go up and down completely randomly.
Pair Corralation between Hainan HNA and ZTE Corp
Assuming the 90 days trading horizon Hainan HNA is expected to generate 1.81 times less return on investment than ZTE Corp. But when comparing it to its historical volatility, Hainan HNA Infrastructure is 1.15 times less risky than ZTE Corp. It trades about 0.08 of its potential returns per unit of risk. ZTE Corp is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,583 in ZTE Corp on September 23, 2024 and sell it today you would earn a total of 1,155 from holding ZTE Corp or generate 44.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hainan HNA Infrastructure vs. ZTE Corp
Performance |
Timeline |
Hainan HNA Infrastructure |
ZTE Corp |
Hainan HNA and ZTE Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hainan HNA and ZTE Corp
The main advantage of trading using opposite Hainan HNA and ZTE Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hainan HNA 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.Hainan HNA vs. China Sports Industry | Hainan HNA vs. Sportsoul Co Ltd | Hainan HNA vs. Zhejiang Publishing Media | Hainan HNA vs. Jiangsu Jinling Sports |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |