Airports Of Thailand Stock Market Value
| AIPUY Stock | USD 17.20 0.60 3.61% |
| 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' 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.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Airports on October 24, 2024 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 Aeroports, Japan Airport, Aena SME, Aena SME, Auckland International, Saker Aviation, and AerSale Corp. 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.
| Downside Deviation | 7.45 | |||
| Information Ratio | 0.0012 | |||
| Maximum Drawdown | 32.17 | |||
| Value At Risk | (7.81) | |||
| Potential Upside | 7.43 |
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 | 0.0287 | |||
| Jensen Alpha | 0.151 | |||
| Total Risk Alpha | (0.69) | |||
| Sortino Ratio | 8.0E-4 | |||
| Treynor Ratio | (0.64) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Airports' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Airports of Thailand Backtested Returns
At this stage we consider Airports Pink Sheet to be somewhat reliable. Airports of Thailand secures Sharpe Ratio (or Efficiency) of 0.0263, which signifies that the company had a 0.0263% 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' Mean Deviation of 3.02, downside deviation of 7.45, and Risk Adjusted Performance of 0.0287 to double-check if the risk estimate we provide is consistent with the expected return of 0.14%. Airports has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.2, 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 5.22%. Please confirm Airports of Thailand value at risk, as well as the relationship between the kurtosis and period momentum indicator , to decide if Airports of Thailand will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Airports of Thailand has no correlation between past and present. Overlapping area represents the amount of predictability between Airports time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 0.0 indicates that just 0.0% of current Airports price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.34 |
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.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Airports Pink Sheet Analysis
When running Airports' price analysis, check to measure Airports' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Airports is operating at the current time. Most of Airports' value examination focuses on studying past and present price action to predict the probability of Airports' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airports' price. Additionally, you may evaluate how the addition of Airports to your portfolios can decrease your overall portfolio volatility.