Air France Klm Stock Market Value
| AFLYY Stock | USD 0.82 0.02 2.50% |
| 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.
| 09/02/2024 |
| 12/01/2024 |
If you would invest 0.00 in Air France on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding Air France KLM or generate 0.0% return on investment in Air France over 90 days. Air France is related to or competes with International Consolidated, Air France-KLM, Finnair Oyj, AirAsia Group, Air New, ANA Holdings, and Air New. 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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.78 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 15.7 | |||
| Value At Risk | (5.77) | |||
| Potential Upside | 6.32 |
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 | 0.0087 | |||
| Jensen Alpha | 0.0315 | |||
| Total Risk Alpha | (0.58) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0201 |
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. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Air France KLM Backtested Returns
Air France KLM secures Sharpe Ratio (or Efficiency) of -0.0322, which signifies that the company had a -0.0322% return per unit of risk over the last 3 months. Air France KLM exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Air France's Downside Deviation of 3.78, mean deviation of 2.5, and Risk Adjusted Performance of 0.0087 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.29, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Air France are expected to decrease at a much lower rate. During the bear market, Air France is likely to outperform the market. At this point, Air France KLM has a negative expected return of -0.11%. Please make sure to confirm Air France's value at risk, as well as the relationship between the kurtosis and period momentum indicator , to decide if Air France KLM performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.38 |
Poor reverse predictability
Air France KLM has poor reverse predictability. Overlapping area represents the amount of predictability between Air France time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 2024 to 1st of December 2024. 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 -0.38 indicates that just about 38.0% of current Air France price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Air Pink Sheet Analysis
When running Air France's price analysis, check to measure Air France's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Air France is operating at the current time. Most of Air France's value examination focuses on studying past and present price action to predict the probability of Air France's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Air France's price. Additionally, you may evaluate how the addition of Air France to your portfolios can decrease your overall portfolio volatility.