Airports Of Thailand Stock Odds of Future Pink Sheet Price Finishing Over 34.79

AIPUY Stock  USD 16.41  1.09  6.23%   
Airports' future price is the expected price of Airports instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Airports of Thailand performance during a given time horizon utilizing its historical volatility. Check out Airports Backtesting, Airports Valuation, Airports Correlation, Airports Hype Analysis, Airports Volatility, Airports History as well as Airports Performance.
  
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Airports Target Price Odds to finish over 34.79

The tendency of Airports Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move over $ 34.79  or more in 90 days
 16.41 90 days 34.79 
close to zero percent
Based on a normal probability distribution, the odds of Airports to move over $ 34.79  or more in 90 days from now is close to zero percent (This Airports of Thailand probability density function shows the probability of Airports Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Airports of Thailand price to stay between its current price of $ 16.41  and $ 34.79  at the end of the 90-day period is about 91.64 .
Assuming the 90 days horizon Airports of Thailand has a beta of -0.88. This suggests Additionally Airports of Thailand has an alpha of 0.285, implying that it can generate a 0.29 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Airports Price Density   
       Price  

Predictive Modules for Airports

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Airports of Thailand. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
11.2616.4121.56
Details
Intrinsic
Valuation
LowRealHigh
8.9314.0819.23
Details
Naive
Forecast
LowNextHigh
10.0515.2020.35
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
16.1316.9317.74
Details

Airports Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Airports is not an exception. The market had few large corrections towards the Airports' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Airports of Thailand, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Airports within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.29
β
Beta against Dow Jones-0.88
σ
Overall volatility
0.97
Ir
Information ratio 0.01

Airports Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Airports for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Airports of Thailand can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Airports of Thailand had very high historical volatility over the last 90 days
Airports of Thailand has accumulated 3.31 B in total debt with debt to equity ratio (D/E) of 0.59, which is about average as compared to similar companies. Airports of Thailand has a current ratio of 0.85, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Airports until it has trouble settling it off, either with new capital or with free cash flow. So, Airports' shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Airports of Thailand sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Airports to invest in growth at high rates of return. When we think about Airports' use of debt, we should always consider it together with cash and equity.
The entity reported the revenue of 16.56 B. Net Loss for the year was (11.09 B) with profit before overhead, payroll, taxes, and interest of 3.5 B.
Airports of Thailand has accumulated about 4.57 B in cash with (171.36 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.32.

Airports Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Airports Pink Sheet often depends not only on the future outlook of the current and potential Airports' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Airports' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding14.3 B

Airports Technical Analysis

Airports' future price can be derived by breaking down and analyzing its technical indicators over time. Airports Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Airports of Thailand. In general, you should focus on analyzing Airports Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.

Airports Predictive Forecast Models

Airports' time-series forecasting models is one of many Airports' pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Airports' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.

Things to note about Airports of Thailand

Checking the ongoing alerts about Airports for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Airports of Thailand help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Airports of Thailand had very high historical volatility over the last 90 days
Airports of Thailand has accumulated 3.31 B in total debt with debt to equity ratio (D/E) of 0.59, which is about average as compared to similar companies. Airports of Thailand has a current ratio of 0.85, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Airports until it has trouble settling it off, either with new capital or with free cash flow. So, Airports' shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Airports of Thailand sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Airports to invest in growth at high rates of return. When we think about Airports' use of debt, we should always consider it together with cash and equity.
The entity reported the revenue of 16.56 B. Net Loss for the year was (11.09 B) with profit before overhead, payroll, taxes, and interest of 3.5 B.
Airports of Thailand has accumulated about 4.57 B in cash with (171.36 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.32.

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.