Correlation Between PTT Exploration and Airports
Can any of the company-specific risk be diversified away by investing in both PTT Exploration 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 PTT Exploration and Airports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PTT Exploration and and Airports of Thailand, you can compare the effects of market volatilities on PTT Exploration 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 PTT Exploration with a short position of Airports. Check out your portfolio center. Please also check ongoing floating volatility patterns of PTT Exploration and Airports.
Diversification Opportunities for PTT Exploration and Airports
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between PTT and Airports is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding PTT Exploration and 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 PTT Exploration 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 PTT Exploration and 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 PTT Exploration i.e., PTT Exploration and Airports go up and down completely randomly.
Pair Corralation between PTT Exploration and Airports
Assuming the 90 days trading horizon PTT Exploration and is expected to under-perform the Airports. In addition to that, PTT Exploration is 1.41 times more volatile than Airports of Thailand. It trades about -0.09 of its total potential returns per unit of risk. Airports of Thailand is currently generating about 0.01 per unit of volatility. If you would invest 6,050 in Airports of Thailand on September 3, 2024 and sell it today you would earn a total of 25.00 from holding Airports of Thailand or generate 0.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PTT Exploration and vs. Airports of Thailand
Performance |
Timeline |
PTT Exploration |
Airports of Thailand |
PTT Exploration and Airports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PTT Exploration and Airports
The main advantage of trading using opposite PTT Exploration and Airports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PTT Exploration 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.PTT Exploration vs. PTT Public | PTT Exploration vs. SCB X Public | PTT Exploration vs. The Siam Commercial | PTT Exploration vs. The Siam Cement |
Airports vs. CP ALL Public | Airports vs. PTT Public | Airports vs. Kasikornbank Public | Airports vs. Bangkok Dusit Medical |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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