Airports (Germany) Market Value
| TX3A Stock | EUR 1.64 0.01 0.61% |
| 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.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Airports on June 8, 2023 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 540 days. Airports is related to or competes with Airports, Auckland International, Aena SME, Ryanair Holdings, and Xinyi Solar. 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.
| Downside Deviation | 1.2 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 5.64 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 2.5 |
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 | 0.0689 | |||
| Jensen Alpha | 0.095 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (4.16) |
Airports of Thailand Backtested Returns
At this point, Airports is relatively risky. Airports of Thailand secures Sharpe Ratio (or Efficiency) of 0.0868, which signifies that the company had a 0.0868% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Airports of Thailand, which you can use to evaluate the volatility of the firm. Please confirm Airports' Downside Deviation of 1.2, mean deviation of 0.9222, and Risk Adjusted Performance of 0.0689 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. Airports has a performance score of 6 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.0222, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Airports are expected to decrease at a much lower rate. During the bear market, Airports is likely to outperform the market. Airports of Thailand right now shows a risk of 1.22%. Please confirm Airports of Thailand sortino ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Airports of Thailand will be following its price patterns.
Auto-correlation | 0.62 |
Good predictability
Airports of Thailand has good predictability. Overlapping area represents the amount of predictability between Airports time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th of November 2024. 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 0.62 indicates that roughly 62.0% of current Airports price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 |
Currently Active Assets on Macroaxis
Other Information on Investing in Airports Stock
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.