Aeroports (Germany) Market Value
W7L Stock | EUR 109.70 2.30 2.14% |
Symbol | Aeroports |
Aeroports '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 Aeroports' stock 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 Aeroports.
10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Aeroports on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Aeroports de Paris or generate 0.0% return on investment in Aeroports over 30 days. Aeroports is related to or competes with CPU SOFTWAREHOUSE, MAGIC SOFTWARE, MOLSON COORS, Check Point, SWISS WATER, and Molson Coors. Aroports de Paris SA designs, construct, and operates airports More
Aeroports 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 Aeroports' stock 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 Aeroports de Paris upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.14) | |||
Maximum Drawdown | 7.96 | |||
Value At Risk | (2.13) | |||
Potential Upside | 2.51 |
Aeroports Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aeroports' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aeroports' standard deviation. In reality, there are many statistical measures that can use Aeroports historical prices to predict the future Aeroports' volatility.Risk Adjusted Performance | (0.04) | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.32) | |||
Treynor Ratio | 0.2063 |
Aeroports de Paris Backtested Returns
Aeroports de Paris secures Sharpe Ratio (or Efficiency) of -0.0573, which signifies that the company had a -0.0573% return per unit of risk over the last 3 months. Aeroports de Paris exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aeroports' Standard Deviation of 1.52, risk adjusted performance of (0.04), and Mean Deviation of 1.14 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.45, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Aeroports are expected to decrease at a much lower rate. During the bear market, Aeroports is likely to outperform the market. At this point, Aeroports de Paris has a negative expected return of -0.0877%. Please make sure to confirm Aeroports' kurtosis, daily balance of power, and the relationship between the skewness and accumulation distribution , to decide if Aeroports de Paris performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Aeroports de Paris has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Aeroports time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 Aeroports de Paris price movement. The serial correlation of -0.77 indicates that around 77.0% of current Aeroports price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.77 | |
Spearman Rank Test | -0.52 | |
Residual Average | 0.0 | |
Price Variance | 2.8 |
Aeroports de Paris lagged returns against current returns
Autocorrelation, which is Aeroports stock'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 Aeroports' stock expected returns. We can calculate the autocorrelation of Aeroports returns to help us make a trade decision. For example, suppose you find that Aeroports has exhibited high autocorrelation historically, and you observe that the stock 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 |
Aeroports 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 Aeroports stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aeroports stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aeroports stock over time.
Current vs Lagged Prices |
Timeline |
Aeroports Lagged Returns
When evaluating Aeroports' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aeroports stock have on its future price. Aeroports 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, Aeroports autocorrelation shows the relationship between Aeroports stock current value and its past values and can show if there is a momentum factor associated with investing in Aeroports de Paris.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Aeroports Stock
Aeroports financial ratios help investors to determine whether Aeroports Stock 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 Aeroports with respect to the benefits of owning Aeroports security.