Airports (Germany) Odds of Future Stock Price Finishing Over 1.66

NYVQ Stock  EUR 1.66  0.78  88.64%   
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.
  
Please specify Airports' target price for which you would like Airports odds to be computed.

Airports Target Price Odds to finish over 1.66

The tendency of Airports Stock 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 above the current price in 90 days
 1.66 90 days 1.66 
about 50.0
Based on a normal probability distribution, the odds of Airports to move above the current price in 90 days from now is about 50.0 (This Airports of Thailand probability density function shows the probability of Airports Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Airports has a beta of 0.15. This indicates as returns on the market go up, Airports average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Airports of Thailand will be expected to be much smaller as well. Additionally Airports of Thailand has an alpha of 0.0809, implying that it can generate a 0.0809 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 stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Hype
Prediction
LowEstimatedHigh
0.131.663.19
Details
Intrinsic
Valuation
LowRealHigh
0.091.623.15
Details
Naive
Forecast
LowNextHigh
0.151.683.21
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.611.641.67
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
0.08
β
Beta against Dow Jones0.15
σ
Overall volatility
0.05
Ir
Information ratio -0.0047

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 may become a speculative penny stock
The company 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 1.9 B in cash with (171.36 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.13.

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 Stock 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 Stock 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 Stock 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' stock 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 stock 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 may become a speculative penny stock
The company 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 1.9 B in cash with (171.36 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.13.

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.