Correlation Between Pha Lai and Hai An
Can any of the company-specific risk be diversified away by investing in both Pha Lai and Hai An 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 Pha Lai and Hai An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pha Lai Thermal and Hai An Transport, you can compare the effects of market volatilities on Pha Lai and Hai An 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 Pha Lai with a short position of Hai An. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pha Lai and Hai An.
Diversification Opportunities for Pha Lai and Hai An
Very good diversification
The 3 months correlation between Pha and Hai is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Pha Lai Thermal and Hai An Transport in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hai An Transport and Pha Lai 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 Pha Lai Thermal are associated (or correlated) with Hai An. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hai An Transport has no effect on the direction of Pha Lai i.e., Pha Lai and Hai An go up and down completely randomly.
Pair Corralation between Pha Lai and Hai An
Assuming the 90 days trading horizon Pha Lai is expected to generate 8.12 times less return on investment than Hai An. But when comparing it to its historical volatility, Pha Lai Thermal is 1.53 times less risky than Hai An. It trades about 0.02 of its potential returns per unit of risk. Hai An Transport is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,011,594 in Hai An Transport on September 2, 2024 and sell it today you would earn a total of 2,793,406 from holding Hai An Transport or generate 138.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Pha Lai Thermal vs. Hai An Transport
Performance |
| Timeline |
| Pha Lai Thermal |
| Hai An Transport |
Pha Lai and Hai An Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Pha Lai and Hai An
The main advantage of trading using opposite Pha Lai and Hai An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pha Lai position performs unexpectedly, Hai An 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 Hai An will offset losses from the drop in Hai An's long position.The idea behind Pha Lai Thermal and Hai An Transport 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.| Hai An vs. FPT Digital Retail | Hai An vs. IDJ FINANCIAL | Hai An vs. CEO Group JSC | Hai An vs. Vincom Retail 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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