Correlation Between Muangthai Capital and Airports
Can any of the company-specific risk be diversified away by investing in both Muangthai Capital 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 Muangthai Capital and Airports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Muangthai Capital Public and Airports of Thailand, you can compare the effects of market volatilities on Muangthai Capital 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 Muangthai Capital with a short position of Airports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Muangthai Capital and Airports.
Diversification Opportunities for Muangthai Capital and Airports
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Muangthai and Airports is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Muangthai Capital Public 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 Muangthai Capital 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 Muangthai Capital Public 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 Muangthai Capital i.e., Muangthai Capital and Airports go up and down completely randomly.
Pair Corralation between Muangthai Capital and Airports
Assuming the 90 days trading horizon Muangthai Capital Public is expected to under-perform the Airports. In addition to that, Muangthai Capital is 1.94 times more volatile than Airports of Thailand. It trades about -0.03 of its total potential returns per unit of risk. Airports of Thailand is currently generating about 0.0 per unit of volatility. If you would invest 6,146 in Airports of Thailand on September 15, 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 | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Muangthai Capital Public vs. Airports of Thailand
Performance |
Timeline |
Muangthai Capital Public |
Airports of Thailand |
Muangthai Capital and Airports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Muangthai Capital and Airports
The main advantage of trading using opposite Muangthai Capital and Airports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Muangthai Capital 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.Muangthai Capital vs. Srisawad Power 1979 | Muangthai Capital vs. Micro Leasing Public | Muangthai Capital vs. Krungthai Card PCL |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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