Correlation Between Airports and Earth Tech
Can any of the company-specific risk be diversified away by investing in both Airports and Earth Tech 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 Earth Tech 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 Earth Tech Environment, you can compare the effects of market volatilities on Airports and Earth Tech 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 Earth Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Airports and Earth Tech.
Diversification Opportunities for Airports and Earth Tech
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Airports and Earth is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Airports of Thailand and Earth Tech Environment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Earth Tech Environment 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 Earth Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Earth Tech Environment has no effect on the direction of Airports i.e., Airports and Earth Tech go up and down completely randomly.
Pair Corralation between Airports and Earth Tech
Assuming the 90 days trading horizon Airports of Thailand is expected to under-perform the Earth Tech. But the stock apears to be less risky and, when comparing its historical volatility, Airports of Thailand is 1.18 times less risky than Earth Tech. The stock trades about -0.24 of its potential returns per unit of risk. The Earth Tech Environment is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest 174.00 in Earth Tech Environment on December 29, 2024 and sell it today you would lose (33.00) from holding Earth Tech Environment or give up 18.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Airports of Thailand vs. Earth Tech Environment
Performance |
Timeline |
Airports of Thailand |
Earth Tech Environment |
Airports and Earth Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Airports and Earth Tech
The main advantage of trading using opposite Airports and Earth Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Airports position performs unexpectedly, Earth Tech 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 Earth Tech will offset losses from the drop in Earth Tech's long position.Airports vs. CP ALL Public | Airports vs. PTT Public | Airports vs. Kasikornbank Public | Airports vs. Bangkok Dusit Medical |
Earth Tech vs. Gulf Energy Development | Earth Tech vs. Energy Absolute Public | Earth Tech vs. Gunkul Engineering Public | Earth Tech vs. Global Power Synergy |
Check out your portfolio center.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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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