Correlation Between Hai An and Ha Noi
Can any of the company-specific risk be diversified away by investing in both Hai An and Ha Noi at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Hai An and Ha Noi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hai An Transport and Ha Noi Education, you can compare the effects of market volatilities on Hai An and Ha Noi 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 Ha Noi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hai An and Ha Noi.
Diversification Opportunities for Hai An and Ha Noi
Excellent diversification
The 3 months correlation between Hai and EID is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Hai An Transport and Ha Noi Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ha Noi Education 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 Ha Noi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ha Noi Education has no effect on the direction of Hai An i.e., Hai An and Ha Noi go up and down completely randomly.
Pair Corralation between Hai An and Ha Noi
Assuming the 90 days trading horizon Hai An Transport is expected to generate 1.68 times more return on investment than Ha Noi. However, Hai An is 1.68 times more volatile than Ha Noi Education. It trades about 0.36 of its potential returns per unit of risk. Ha Noi Education is currently generating about -0.14 per unit of risk. If you would invest 4,400,000 in Hai An Transport on September 20, 2024 and sell it today you would earn a total of 535,000 from holding Hai An Transport or generate 12.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Hai An Transport vs. Ha Noi Education
Performance |
Timeline |
Hai An Transport |
Ha Noi Education |
Hai An and Ha Noi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hai An and Ha Noi
The main advantage of trading using opposite Hai An and Ha Noi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hai An position performs unexpectedly, Ha Noi 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 Ha Noi will offset losses from the drop in Ha Noi's long position.The idea behind Hai An Transport and Ha Noi Education pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Ha Noi vs. Dong Nai Plastic | Ha Noi vs. Ha Long Investment | Ha Noi vs. Thong Nhat Rubber | Ha Noi vs. SMC Investment Trading |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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