Air France Pink Sheet Forward View
| AFRAF Stock | USD 11.40 -0.19 -1.64% |
Momentum 0
Sell Peaked
Oversold | Overbought |
This view frames how Air France KLM SA responds to recent headlines and peer activity within its market context.
The Naive Prediction forecasted value of Air France KLM SA on the next trading day is expected to be 9.15 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.64.Air France after-hype prediction price | USD 11.4 |
Sentiment indicators are one input among forecasting models, technical signals, analyst estimates, earnings data, and momentum measures.
Air |
Air France Additional Predictive Modules
Most predictive techniques to examine Air price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Air using various technical indicators. When you analyze Air 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Air France Naive Prediction Price Forecast For the 11th of March 2026
Given 90 days horizon, the Naive Prediction forecasted value of Air France KLM SA on the next trading day is expected to be 9.15 with a mean absolute deviation of 0.27 , mean absolute percentage error of 0.14 , and the sum of the absolute errors of 16.64 .Please note that although there have been many attempts to predict Air Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Air France's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Air France Pink Sheet Forecast Pattern
| Backtest Air France | Air France Price Prediction | Research Analysis |
Air France Forecasted Value
This next-day forecast for Air France KLM SA uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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 Air France pink sheet data series using in forecasting. Note that when a statistical model is used to represent Air France 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.| AIC | Akaike Information Criteria | 117.953 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2684 |
| MAPE | Mean absolute percentage error | 0.0198 |
| SAE | Sum of the absolute errors | 16.6398 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Air France's price to converge to an average value over time is called mean reversion.
Air France After-Hype Price Density Analysis
As far as predicting the price of Air France at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range.
Next price density |
| Expected price to next headline |
Air France Estimiated After-Hype Price Volatility
In the context of predicting Air France's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Air France's historical news coverage.
Current Value
The after-hype framework applied to Air France KLM SA assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Air France Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Air France is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Air France 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 Air France, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.15 | 3.23 | 0.00 | 0.26 | 0 Events | 0 Events | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
11.40 | 11.40 | 0.00 |
|
Air France Hype Timeline
Air France KLM is presently traded for 11.40. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.26. Air is forecasted 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 forecasted to be very small, whereas the daily expected return is presently at -0.15%. %. The volatility of related hype on Air France is about 187.9%, with the expected price after the next announcement by competition of 11.14. About 53.0% of the company shares are held by company insiders. The company recorded a loss per share of 4.28. Air France KLM last dividend was issued on the 14th of July 2008. Assuming the 90 days horizon the next forecasted press release will be in 5 to 10 days. Use Historical Fundamental Analysis of Air France to cross-verify projections for Air France. The view provides historical context for the projection set.Air France Related Hype Analysis
Having access to credible news sources related to Air France's direct competition is more important than ever and may enhance your ability to predict Air France's future price movements. Getting to know how Air France's peers react to changing market sentiment, related social.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ACDVF | Air Canada | -14.74 | 1 per month | 0.00 | -0.03 | 3.25 | -3.62 | 12.75 | |
| SPASF | SATS | -2.45 | 1 per month | 0.00 | 0.15 | 0.00 | 0.00 | 24.52 | |
| JAIRF | Japan Airport Terminal | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| EJTTF | easyJet plc | 0.00 | 0 per month | 0.00 | -0.14 | 0.00 | -2.58 | 12.95 | |
| SENGF | SINOPEC Engineering Co | 0.00 | 0 per month | 0.00 | 0.13 | 0.00 | 0.00 | 25.07 | |
| DLPTF | Liaoning Port CoLtd | 0.00 | 0 per month | 0.00 | -0.0048 | 0.00 | 0.00 | 5.88 | |
| YASKY | Yaskawa Electric Corp | 0.00 | 0 per month | 2.34 | 0.06 | 5.05 | -3.80 | 19.22 | |
| ROYMY | Royal Mail PLC | 0.00 | 0 per month | 4.39 | 0.01 | 6.44 | -11.11 | 56.48 | |
| ELALF | El Al Israel | 0.00 | 0 per month | 3.22 | 0.1 | 9.44 | -4.72 | 40.02 | |
| SOHVF | Sumitomo Heavy Industries | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Air France
For every potential investor in Air, whether a beginner or expert, Air France's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.Air France 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 Air France pink sheet to make a market-neutral strategy. Peer analysis of Air France could also be used in its relative valuation, which is a method of valuing Air France by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Air France Market Strength Events
Market strength indicators help investors to evaluate how Air France 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 Air France shares will generate the highest return on.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 11.4 | |||
| Day Typical Price | 11.4 | |||
| Price Action Indicator | -0.1 | |||
| Period Momentum Indicator | -0.19 | |||
| Relative Strength Index | 34.36 |
Air France Risk Indicators
The analysis of Air France's 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 Air France's investment and either accepting that risk or mitigating it.
| Mean Deviation | 1.33 | |||
| Semi Deviation | 2.27 | |||
| Standard Deviation | 3.22 | |||
| Variance | 10.38 | |||
| Downside Variance | 50.01 | |||
| Semi Variance | 5.16 | |||
| Expected Short fall | -6.30 |
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 Air France
Coverage intensity for Air France KLM SA matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.
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Air France financial ratios help frame valuation context across profits, cash flow, and enterprise value. They help compare Air to other measures in a consistent way.