Correlation Between Hai An and HNX 30
Specify exactly 2 symbols:
By analyzing existing cross correlation between Hai An Transport and HNX 30, you can compare the effects of market volatilities on Hai An and HNX 30 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 Hai An with a short position of HNX 30. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hai An and HNX 30.
Diversification Opportunities for Hai An and HNX 30
Average diversification
The 3 months correlation between Hai and HNX is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Hai An Transport and HNX 30 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HNX 30 and Hai An 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 Hai An Transport are associated (or correlated) with HNX 30. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HNX 30 has no effect on the direction of Hai An i.e., Hai An and HNX 30 go up and down completely randomly.
Pair Corralation between Hai An and HNX 30
Assuming the 90 days trading horizon Hai An Transport is expected to generate 1.75 times more return on investment than HNX 30. However, Hai An is 1.75 times more volatile than HNX 30. It trades about 0.11 of its potential returns per unit of risk. HNX 30 is currently generating about 0.11 per unit of risk. If you would invest 4,755,000 in Hai An Transport on November 27, 2024 and sell it today you would earn a total of 485,000 from holding Hai An Transport or generate 10.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hai An Transport vs. HNX 30
Performance |
Timeline |
Hai An and HNX 30 Volatility Contrast
Predicted Return Density |
Returns |
Hai An Transport
Pair trading matchups for Hai An
HNX 30
Pair trading matchups for HNX 30
Pair Trading with Hai An and HNX 30
The main advantage of trading using opposite Hai An and HNX 30 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hai An position performs unexpectedly, HNX 30 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 HNX 30 will offset losses from the drop in HNX 30's long position.Hai An vs. Innovative Technology Development | Hai An vs. Long An Food | Hai An vs. Tien Phong Plastic | Hai An vs. Binh Thuan Books |
HNX 30 vs. Vietnam National Reinsurance | HNX 30 vs. PetroVietnam Transportation Corp | HNX 30 vs. Hai An Transport | HNX 30 vs. Transimex Transportation JSC |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Other Complementary Tools
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |