Airports Pink Sheet Forecast - Naive Prediction

Airports Additional Predictive Modules

Most predictive techniques to examine Airports price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Airports using various technical indicators. When you analyze Airports charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. A naive forecasting model for Airports is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Airports Of Thailand value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Airports Naive Prediction Price Forecast For the 27th of January

Given 90 days horizon, the Naive Prediction forecasted value of Airports Of Thailand on the next trading day is expected to be 1.25 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 1.25.

Airports Pink Sheet Forecast Pattern

Backtest Airports

Airports Price Prediction

Buy or Sell Advice

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Airports pink sheet data series using in forecasting. Note that when a statistical model is used to represent Airports pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. This model is not at all useful as a medium-long range forecasting tool of Airports Of Thailand. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Airports. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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.

Hype Prediction Low Estimated High 1.31 1.31 1.31 Details

Intrinsic Valuation Low Real High 1.25 1.25 1.44 Details

Bollinger Band Projection (param) Low Middle High 1.31 1.31 1.31 Details

Airports After-Hype Price Density Analysis

Airports Estimiated After-Hype Price Volatility

Airports Pink Sheet Price Outlook Analysis

Notes

Airports Hype Timeline

Airports Of Thailand is presently traded for 1.31. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Airports is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is presently at 0.0%. %. The volatility of related hype on Airports is about 0.0%, with the expected price after the next announcement by competition of 1.31. The company last dividend was issued on the 8th of December 2020. Airports Of Thailand had 10:1 split on the 9th of February 2017. Assuming the 90 days horizon the next anticipated press release will be in 5 to 10 days. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons.

Airports Related Hype Analysis

Airports Related Equities

Risk & Return

Correlation

Airports Market Strength Events

Story Coverage note for Airports

Other Consideration for investing in Airports Pink Sheet