Correlation Between SE Education and SET50 Index

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Can any of the company-specific risk be diversified away by investing in both SE Education and SET50 Index 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 SE Education and SET50 Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SE Education Public and SET50 Index, you can compare the effects of market volatilities on SE Education and SET50 Index 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 SE Education with a short position of SET50 Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of SE Education and SET50 Index.

Diversification Opportunities for SE Education and SET50 Index

0.06
  Correlation Coefficient

Significant diversification

The 3 months correlation between SE-ED and SET50 is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding SE Education Public and SET50 Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SET50 Index and SE Education 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 SE Education Public are associated (or correlated) with SET50 Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SET50 Index has no effect on the direction of SE Education i.e., SE Education and SET50 Index go up and down completely randomly.
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Pair Corralation between SE Education and SET50 Index

Assuming the 90 days trading horizon SE Education Public is expected to generate 1.2 times more return on investment than SET50 Index. However, SE Education is 1.2 times more volatile than SET50 Index. It trades about 0.01 of its potential returns per unit of risk. SET50 Index is currently generating about -0.18 per unit of risk. If you would invest  208.00  in SE Education Public on October 10, 2024 and sell it today you would earn a total of  0.00  from holding SE Education Public or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

SE Education Public  vs.  SET50 Index

 Performance 
       Timeline  

SE Education and SET50 Index Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SE Education and SET50 Index

The main advantage of trading using opposite SE Education and SET50 Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SE Education position performs unexpectedly, SET50 Index 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 SET50 Index will offset losses from the drop in SET50 Index's long position.
The idea behind SE Education Public and SET50 Index 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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