Thai Airways Pink Sheet Forecast - Naive Prediction

TAWNF Stock  USD 0.22  0.01  4.76%   
Thai Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Thai Airways' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 28th of January 2026, the relative strength index (RSI) of Thai Airways' share price is approaching 43. This usually implies that the pink sheet is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Thai Airways, making its price go up or down.

Momentum 43

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of Thai Airways' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Thai Airways and does not consider all of the tangible or intangible factors available from Thai Airways' fundamental data. We analyze noise-free headlines and recent hype associated with Thai Airways International, which may create opportunities for some arbitrage if properly timed.
Using Thai Airways hype-based prediction, you can estimate the value of Thai Airways International from the perspective of Thai Airways response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Thai Airways International on the next trading day is expected to be 0.23 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.57.

Thai Airways after-hype prediction price

    
  USD 0.21  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Thai Airways to cross-verify your projections.

Thai Airways Additional Predictive Modules

Most predictive techniques to examine Thai price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Thai using various technical indicators. When you analyze Thai 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 Thai Airways is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Thai Airways International 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.

Thai Airways Naive Prediction Price Forecast For the 29th of January

Given 90 days horizon, the Naive Prediction forecasted value of Thai Airways International on the next trading day is expected to be 0.23 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.57.
Please note that although there have been many attempts to predict Thai Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Thai Airways' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Thai Airways Pink Sheet Forecast Pattern

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Thai Airways Forecasted Value

In the context of forecasting Thai Airways' Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Thai Airways' downside and upside margins for the forecasting period are 0 and 4.80, respectively. We have considered Thai Airways' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.22
0.23
Expected Value
4.80
Upside

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 Thai Airways pink sheet data series using in forecasting. Note that when a statistical model is used to represent Thai Airways 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.
AICAkaike Information Criteria109.1637
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0093
MAPEMean absolute percentage error0.0372
SAESum of the absolute errors0.5685
This model is not at all useful as a medium-long range forecasting tool of Thai Airways International. 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 Thai Airways. 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 Thai Airways

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Thai Airways Interna. 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
LowEstimatedHigh
0.010.214.77
Details
Intrinsic
Valuation
LowRealHigh
0.010.204.76
Details

Thai Airways After-Hype Price Density Analysis

As far as predicting the price of Thai Airways at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Thai Airways or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Thai Airways, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Thai Airways Estimiated After-Hype Price Volatility

In the context of predicting Thai Airways' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Thai Airways' historical news coverage. Thai Airways' after-hype downside and upside margins for the prediction period are 0.01 and 4.77, respectively. We have considered Thai Airways' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
0.22
0.21
After-hype Price
4.77
Upside
Thai Airways is out of control at this time. Analysis and calculation of next after-hype price of Thai Airways Interna is based on 3 months time horizon.

Thai Airways Pink Sheet Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Thai Airways is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Thai Airways backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Thai Airways, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.35 
4.57
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.22
0.21
0.00 
0.00  
Notes

Thai Airways Hype Timeline

Thai Airways Interna is at this time traded for 0.22. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Thai is estimated 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 estimated to be very small, whereas the daily expected return is at this time at -0.35%. %. The volatility of related hype on Thai Airways is about 0.0%, with the expected price after the next announcement by competition of 0.22. The company has price-to-book ratio of 0.61. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Thai Airways Interna last dividend was issued on the 13th of March 2013. Assuming the 90 days horizon the next estimated press release will be within a week.
Check out Historical Fundamental Analysis of Thai Airways to cross-verify your projections.

Thai Airways Related Hype Analysis

Having access to credible news sources related to Thai Airways' direct competition is more important than ever and may enhance your ability to predict Thai Airways' future price movements. Getting to know how Thai Airways' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Thai Airways may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
CPCAFCathay Pacific Airways 0.00 0 per month 0.00 (0.03) 0.00  0.00  37.90 
JAPSYJapan Airlines Ltd 0.00 0 per month 0.00 (0.07) 2.37 (2.42) 8.62 
FPRUYFraport AG Frankfurt 0.00 0 per month 0.00 (0.09) 0.25  0.00  15.20 
ALNPYANA Holdings ADR 0.00 0 per month 2.26  0  4.18 (3.32) 10.51 
FPRUFFraport AG 0.00 0 per month 0.00 (0.03) 0.00  0.00  8.86 
ACKDFAuckland International Airport 0.00 0 per month 3.20 (0.02) 9.28 (9.07) 21.98 
ALNPFANA Holdings 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
JPNRFJapan Airlines Co 0.00 0 per month 6.43  0.11  31.17 (15.96) 47.14 
ASRMFGrupo Aeroportuario del 0.00 0 per month 3.53  0.03  8.12 (7.69) 20.54 
CPCAYCathay Pacific Airways 0.00 0 per month 1.47  0.07  3.57 (2.65) 9.81 

Other Forecasting Options for Thai Airways

For every potential investor in Thai, whether a beginner or expert, Thai Airways' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Thai Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Thai. Basic forecasting techniques help filter out the noise by identifying Thai Airways' price trends.

Thai Airways Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Thai Airways pink sheet to make a market-neutral strategy. Peer analysis of Thai Airways could also be used in its relative valuation, which is a method of valuing Thai Airways by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Thai Airways Market Strength Events

Market strength indicators help investors to evaluate how Thai Airways pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Thai Airways shares will generate the highest return on investment. By undertsting and applying Thai Airways pink sheet market strength indicators, traders can identify Thai Airways International entry and exit signals to maximize returns.

Thai Airways Risk Indicators

The analysis of Thai Airways' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Thai Airways' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting thai pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Thai Airways

The number of cover stories for Thai Airways depends on current market conditions and Thai Airways' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Thai Airways is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Thai Airways' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Other Information on Investing in Thai Pink Sheet

Thai Airways financial ratios help investors to determine whether Thai Pink Sheet 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 Thai with respect to the benefits of owning Thai Airways security.