Airports' market value is the price at which a share of Airports trades on a public exchange. It measures the collective expectations of Airports of Thailand investors about its performance. Airports is trading at 1.08 as of the 27th of July 2025. This is a 17.39 percent increase since the beginning of the trading day. The stock's lowest day price was 1.08. With this module, you can estimate the performance of a buy and hold strategy of Airports of Thailand and determine expected loss or profit from investing in Airports over a given investment horizon. Check out Airports Correlation, Airports Volatility and Airports Alpha and Beta module to complement your research on Airports.
Please note, there is a significant difference between Airports' value and its price as these two are different measures arrived at by different means. Investors typically determine if Airports is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Airports' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Airports 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Airports' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Airports.
0.00
04/28/2025
No Change 0.00
0.0
In 2 months and 31 days
07/27/2025
0.00
If you would invest 0.00 in Airports on April 28, 2025 and sell it all today you would earn a total of 0.00 from holding Airports of Thailand or generate 0.0% return on investment in Airports over 90 days. Airports is related to or competes with Auckland International, Auckland International, Aena SME, Aena SME, Aeroports, Grupo Aeroportuario, and Grupo Aeroportuario. Airports of Thailand Public Company Limited, together with its subsidiaries, engages in developing, managing, and operat... More
Airports Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Airports' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Airports of Thailand upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Airports' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Airports' standard deviation. In reality, there are many statistical measures that can use Airports historical prices to predict the future Airports' volatility.
Airports of Thailand secures Sharpe Ratio (or Efficiency) of -0.039, which signifies that the company had a -0.039 % return per unit of risk over the last 3 months. Airports of Thailand exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Airports' Risk Adjusted Performance of 0.0432, mean deviation of 1.28, and Standard Deviation of 4.0 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.45, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Airports' returns are expected to increase less than the market. However, during the bear market, the loss of holding Airports is expected to be smaller as well. At this point, Airports of Thailand has a negative expected return of -0.13%. Please make sure to confirm Airports' information ratio, skewness, as well as the relationship between the Skewness and day median price , to decide if Airports of Thailand performance from the past will be repeated at some point in the near future.
Auto-correlation
0.05
Virtually no predictability
Airports of Thailand has virtually no predictability. Overlapping area represents the amount of predictability between Airports time series from 28th of April 2025 to 12th of June 2025 and 12th of June 2025 to 27th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Airports of Thailand price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Airports price fluctuation can be explain by its past prices.
Correlation Coefficient
0.05
Spearman Rank Test
0.6
Residual Average
0.0
Price Variance
0.0
Airports of Thailand lagged returns against current returns
Autocorrelation, which is Airports pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Airports' pink sheet expected returns. We can calculate the autocorrelation of Airports returns to help us make a trade decision. For example, suppose you find that Airports has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
Airports regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Airports pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Airports pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Airports pink sheet over time.
Current vs Lagged Prices
Timeline
Airports Lagged Returns
When evaluating Airports' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Airports pink sheet have on its future price. Airports autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Airports autocorrelation shows the relationship between Airports pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Airports of Thailand.
Other Information on Investing in Airports Pink Sheet
Airports financial ratios help investors to determine whether Airports Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Airports with respect to the benefits of owning Airports security.