Autohellas (Greece) Market Value
OTOEL Stock | EUR 10.24 0.22 2.20% |
Symbol | Autohellas |
Autohellas '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 Autohellas' 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 Autohellas.
10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Autohellas on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Autohellas SA or generate 0.0% return on investment in Autohellas over 30 days. Autohellas is related to or competes with Daios Plastics, Technical Olympic, Athens Medical, Foodlink, Thrace Plastics, and CPI Computer. Autohellas S.A. provides vehicle renting and leasing services under the Hertz brand More
Autohellas 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 Autohellas' 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 Autohellas SA upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.17) | |||
Maximum Drawdown | 6.63 | |||
Value At Risk | (2.62) | |||
Potential Upside | 2.32 |
Autohellas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Autohellas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Autohellas' standard deviation. In reality, there are many statistical measures that can use Autohellas historical prices to predict the future Autohellas' volatility.Risk Adjusted Performance | (0.07) | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.34) | |||
Treynor Ratio | 0.9541 |
Autohellas SA Backtested Returns
Autohellas SA secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12% return per unit of risk over the last 3 months. Autohellas SA exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Autohellas' Risk Adjusted Performance of (0.07), mean deviation of 1.11, and Standard Deviation of 1.44 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Autohellas are expected to decrease at a much lower rate. During the bear market, Autohellas is likely to outperform the market. At this point, Autohellas SA has a negative expected return of -0.16%. Please make sure to confirm Autohellas' maximum drawdown, accumulation distribution, as well as the relationship between the Accumulation Distribution and market facilitation index , to decide if Autohellas SA performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.22 |
Weak reverse predictability
Autohellas SA has weak reverse predictability. Overlapping area represents the amount of predictability between Autohellas time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Autohellas SA price movement. The serial correlation of -0.22 indicates that over 22.0% of current Autohellas price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.22 | |
Spearman Rank Test | -0.35 | |
Residual Average | 0.0 | |
Price Variance | 0.15 |
Autohellas SA lagged returns against current returns
Autocorrelation, which is Autohellas 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 Autohellas' stock expected returns. We can calculate the autocorrelation of Autohellas returns to help us make a trade decision. For example, suppose you find that Autohellas 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 |
Autohellas 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 Autohellas stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Autohellas stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Autohellas stock over time.
Current vs Lagged Prices |
Timeline |
Autohellas Lagged Returns
When evaluating Autohellas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Autohellas stock have on its future price. Autohellas 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, Autohellas autocorrelation shows the relationship between Autohellas stock current value and its past values and can show if there is a momentum factor associated with investing in Autohellas SA.
Regressed Prices |
Timeline |
Thematic Opportunities
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Other Information on Investing in Autohellas Stock
Autohellas financial ratios help investors to determine whether Autohellas 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 Autohellas with respect to the benefits of owning Autohellas security.