Correlation Between Airports and G J

Can any of the company-specific risk be diversified away by investing in both Airports and G J 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 Airports and G J into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Airports of Thailand and G J Steel, you can compare the effects of market volatilities on Airports and G J 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 Airports with a short position of G J. Check out your portfolio center. Please also check ongoing floating volatility patterns of Airports and G J.

Diversification Opportunities for Airports and G J

0.54

Correlation Coefficient

Airports  G J

Very weak diversification

The 3 months correlation between Airports and GJS is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Airports of Thailand and G J Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G J Steel and Airports 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 Airports of Thailand are associated (or correlated) with G J. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G J Steel has no effect on the direction of Airports i.e., Airports and G J go up and down completely randomly.

Pair Corralation between Airports and G J

Assuming the 90 days trading horizon Airports of Thailand is expected to generate 0.23 times more return on investment than G J. However, Airports of Thailand is 4.36 times less risky than G J. It trades about 0.0 of its potential returns per unit of risk. G J Steel is currently generating about -0.05 per unit of risk. If you would invest  6,146  in Airports of Thailand on September 17, 2024 and sell it today you would lose (21.00) from holding Airports of Thailand or give up 0.34% of portfolio value over 90 days.

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

Airports of Thailand  vs.  G J Steel

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.

G J Steel

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days G J Steel has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest conflicting performance, the Stock's basic indicators remain persistent and the latest mess on Wall Street may also be a sign of long-standing gains for the company institutional investors.

Pair Trading with Airports and G J

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

The idea behind Airports of Thailand and G J Steel 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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.