Correlation Between Erawan and E For

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

Diversification Opportunities for Erawan and E For

0.76
  Correlation Coefficient

Poor diversification

The 3 months correlation between Erawan and EFORL is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding The Erawan Group and E for L in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on E for L and Erawan 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 The Erawan Group are associated (or correlated) with E For. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of E for L has no effect on the direction of Erawan i.e., Erawan and E For go up and down completely randomly.

Pair Corralation between Erawan and E For

Assuming the 90 days trading horizon The Erawan Group is expected to generate 0.62 times more return on investment than E For. However, The Erawan Group is 1.61 times less risky than E For. It trades about -0.18 of its potential returns per unit of risk. E for L is currently generating about -0.17 per unit of risk. If you would invest  379.00  in The Erawan Group on December 27, 2024 and sell it today you would lose (95.00) from holding The Erawan Group or give up 25.07% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

The Erawan Group  vs.  E for L

 Performance 
       Timeline  
Erawan Group 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days The Erawan Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain quite persistent which may send shares a bit higher in April 2025. The latest mess may also be a sign of long-standing up-swing for the company institutional investors.
E for L 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days E for L has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's fundamental drivers remain somewhat strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Erawan and E For Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Erawan and E For

The main advantage of trading using opposite Erawan and E For positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Erawan position performs unexpectedly, E For 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 E For will offset losses from the drop in E For's long position.
The idea behind The Erawan Group and E for L 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.

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