Airports (Thailand) Market Value
| AOT Stock | THB 43.50 0.25 0.58% |
| Symbol | Airports |
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' stock 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.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in Airports on January 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 30 days. Airports is related to or competes with CP ALL, PTT Public, Kasikornbank Public, Bangkok Dusit, and SCB X. Airports of Thailand Public Company Limited engages in developing, managing, and operating international airports in Tha... 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' stock 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.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 16.34 | |||
| Value At Risk | (3.27) | |||
| Potential Upside | 1.82 |
Airports Market Risk Indicators
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.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | (1.76) |
Airports of Thailand Backtested Returns
Airports of Thailand secures Sharpe Ratio (or Efficiency) of -0.21, which signifies that the company had a -0.21 % return per unit of risk over the last 3 months. Airports of Thailand exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Airports' Risk Adjusted Performance of (0.14), standard deviation of 2.31, and Mean Deviation of 1.3 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.26, which signifies not very significant fluctuations relative to the market. 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 -0.5%. Please make sure to confirm Airports' value at risk, skewness, and the relationship between the maximum drawdown and potential upside , to decide if Airports of Thailand performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.19 |
Very weak predictability
Airports of Thailand has very weak predictability. Overlapping area represents the amount of predictability between Airports time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 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 0.19 indicates that over 19.0% of current Airports price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 11.44 |
Airports of Thailand lagged returns against current returns
Autocorrelation, which is Airports stock'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' stock 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 stock 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Airports stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Airports stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Airports of Thailand.
Regressed Prices |
| Timeline |
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Airports financial ratios help investors to determine whether Airports Stock 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.