Correlation Between Transport and VN 30

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

Diversification Opportunities for Transport and VN 30

0.19
  Correlation Coefficient

Average diversification

The 3 months correlation between Transport and VNI30 is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Transport and Industry and VN 30 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VN 30 and Transport 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 Transport and Industry are associated (or correlated) with VN 30. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VN 30 has no effect on the direction of Transport i.e., Transport and VN 30 go up and down completely randomly.
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Pair Corralation between Transport and VN 30

Assuming the 90 days trading horizon Transport is expected to generate 14.62 times less return on investment than VN 30. In addition to that, Transport is 1.56 times more volatile than VN 30. It trades about 0.01 of its total potential returns per unit of risk. VN 30 is currently generating about 0.15 per unit of volatility. If you would invest  130,195  in VN 30 on September 13, 2024 and sell it today you would earn a total of  3,972  from holding VN 30 or generate 3.05% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy95.65%
ValuesDaily Returns

Transport and Industry  vs.  VN 30

 Performance 
       Timeline  

Transport and VN 30 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Transport and VN 30

The main advantage of trading using opposite Transport and VN 30 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Transport position performs unexpectedly, VN 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 VN 30 will offset losses from the drop in VN 30's long position.
The idea behind Transport and Industry and VN 30 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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