Correlation Between HNX 30 and Asia Pacific

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Can any of the company-specific risk be diversified away by investing in both HNX 30 and Asia Pacific 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 HNX 30 and Asia Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HNX 30 and Asia Pacific Investment, you can compare the effects of market volatilities on HNX 30 and Asia Pacific 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 HNX 30 with a short position of Asia Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of HNX 30 and Asia Pacific.

Diversification Opportunities for HNX 30 and Asia Pacific

0.9
  Correlation Coefficient

Almost no diversification

The 3 months correlation between HNX and Asia is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding HNX 30 and Asia Pacific Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asia Pacific Investment and HNX 30 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 HNX 30 are associated (or correlated) with Asia Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asia Pacific Investment has no effect on the direction of HNX 30 i.e., HNX 30 and Asia Pacific go up and down completely randomly.
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Pair Corralation between HNX 30 and Asia Pacific

Assuming the 90 days trading horizon HNX 30 is expected to under-perform the Asia Pacific. But the index apears to be less risky and, when comparing its historical volatility, HNX 30 is 3.43 times less risky than Asia Pacific. The index trades about -0.06 of its potential returns per unit of risk. The Asia Pacific Investment is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  820,000  in Asia Pacific Investment on September 15, 2024 and sell it today you would lose (40,000) from holding Asia Pacific Investment or give up 4.88% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

HNX 30  vs.  Asia Pacific Investment

 Performance 
       Timeline  

HNX 30 and Asia Pacific Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with HNX 30 and Asia Pacific

The main advantage of trading using opposite HNX 30 and Asia Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HNX 30 position performs unexpectedly, Asia Pacific 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 Asia Pacific will offset losses from the drop in Asia Pacific's long position.
The idea behind HNX 30 and Asia Pacific Investment 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.
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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