Air France Klm Sa Stock Market Value
| AFRAF Stock | USD 14.84 1.47 10.99% |
| Symbol | Air |
Air France 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Air France's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Air France.
| 05/09/2025 |
| 08/07/2025 |
If you would invest 0.00 in Air France on May 9, 2025 and sell it all today you would earn a total of 0.00 from holding Air France KLM SA or generate 0.0% return on investment in Air France over 90 days. Air France is related to or competes with Cebu Air, EasyJet Plc, Norse Atlantic, Air China, Air New, AirAsia Group, and ANA Holdings. Air France-KLM SA, together with its subsidiaries, provides passenger and cargo transportation services on scheduled fli... More
Air France Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Air France's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Air France KLM SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1705 | |||
| Maximum Drawdown | 32.98 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 6.76 |
Air France Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Air France's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Air France's standard deviation. In reality, there are many statistical measures that can use Air France historical prices to predict the future Air France's volatility.| Risk Adjusted Performance | 0.1591 | |||
| Jensen Alpha | 0.8089 | |||
| Total Risk Alpha | 0.3409 | |||
| Treynor Ratio | 0.6831 |
Air France KLM Backtested Returns
Air France is somewhat reliable given 3 months investment horizon. Air France KLM secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the company had a 0.2 % return per unit of risk over the last 3 months. We were able to analyze twenty-one different technical indicators, which can help you to evaluate if expected returns of 1.03% are justified by taking the suggested risk. Use Air France Mean Deviation of 2.24, standard deviation of 4.95, and Risk Adjusted Performance of 0.1591 to evaluate company specific risk that cannot be diversified away. Air France holds a performance score of 15 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 1.38, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Air France will likely underperform. Use Air France kurtosis, and the relationship between the treynor ratio and day median price , to analyze future returns on Air France.
Auto-correlation | 0.71 |
Good predictability
Air France KLM SA has good predictability. Overlapping area represents the amount of predictability between Air France time series from 9th of May 2025 to 23rd of June 2025 and 23rd of June 2025 to 7th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Air France KLM price movement. The serial correlation of 0.71 indicates that around 71.0% of current Air France price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 2.75 |
Air France KLM lagged returns against current returns
Autocorrelation, which is Air France pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Air France's pink sheet expected returns. We can calculate the autocorrelation of Air France returns to help us make a trade decision. For example, suppose you find that Air France has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Air France regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Air France pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Air France pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Air France pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Air France Lagged Returns
When evaluating Air France's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Air France pink sheet have on its future price. Air France autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Air France autocorrelation shows the relationship between Air France pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Air France KLM SA.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Air Pink Sheet
Air France financial ratios help investors to determine whether Air 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 Air with respect to the benefits of owning Air France security.