Correlation Between Erawan and Airports

Can any of the company-specific risk be diversified away by investing in both Erawan and Airports 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 Airports 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 Airports of Thailand, you can compare the effects of market volatilities on Erawan and Airports 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 Airports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Erawan and Airports.

Diversification Opportunities for Erawan and Airports

0.38

Correlation Coefficient

Erawan  Airports

Weak diversification

The 3 months correlation between Erawan and Airports is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding The Erawan Group and Airports of Thailand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Airports of Thailand 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 Airports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Airports of Thailand has no effect on the direction of Erawan i.e., Erawan and Airports go up and down completely randomly.

Pair Corralation between Erawan and Airports

Assuming the 90 days trading horizon The Erawan Group is expected to generate 118.84 times more return on investment than Airports. However, Erawan is 118.84 times more volatile than Airports of Thailand. It trades about 0.13 of its potential returns per unit of risk. Airports of Thailand is currently generating about 0.01 per unit of risk. If you would invest  0.00  in The Erawan Group on September 3, 2024 and sell it today you would earn a total of  400.00  from holding The Erawan Group or generate 9.223372036854776E16% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

The Erawan Group  vs.  Airports of Thailand

Erawan Group

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in The Erawan Group are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite quite weak basic indicators, Erawan disclosed solid returns over the last few months and may actually be approaching a breakup point.

Airports of Thailand

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Airports of Thailand has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent basic indicators, Airports is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Pair Trading with Erawan and Airports

The main advantage of trading using opposite Erawan and Airports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Erawan position performs unexpectedly, Airports 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 Airports will offset losses from the drop in Airports' long position.

The idea behind The Erawan Group and Airports of Thailand 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.