Logismos Information (Greece) Probability of Future Stock Price Finishing Over 2.25
| LOGISMOS | EUR 1.25 0.02 1.63% |
Logismos |
Logismos Information Target Price Odds to finish over 2.25
The tendency of Logismos Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over € 2.25 or more in 90 days |
| 1.25 | 90 days | 2.25 | close to zero percent |
Based on a normal probability distribution, the odds of Logismos Information to move over € 2.25 or more in 90 days from now is close to zero percent (This Logismos Information Systems probability density function shows the probability of Logismos Stock to fall within a particular range of prices over 90 days) . Probability of Logismos Information price to stay between its current price of € 1.25 and € 2.25 at the end of the 90-day period is about 92.05 .
Assuming the 90 days trading horizon Logismos Information has a beta of 0.15. This indicates as returns on the market go up, Logismos Information average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Logismos Information Systems will be expected to be much smaller as well. Additionally Logismos Information Systems has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Logismos Information Price Density |
| Price |
Predictive Modules for Logismos Information
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Logismos Information. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Logismos Information'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.
Logismos Information Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Logismos Information is not an exception. The market had few large corrections towards the Logismos Information's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Logismos Information Systems, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Logismos Information within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.25 | |
β | Beta against Dow Jones | 0.15 | |
σ | Overall volatility | 0.06 | |
Ir | Information ratio | -0.35 |
Logismos Information Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Logismos Information for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Logismos Information can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Logismos Information generated a negative expected return over the last 90 days | |
| Logismos Information may become a speculative penny stock | |
| The company reported the revenue of 2.7 M. Net Loss for the year was (207.01 K) with profit before overhead, payroll, taxes, and interest of 1.65 M. | |
| About 70.0% of the company outstanding shares are owned by corporate insiders |
Logismos Information Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Logismos Stock often depends not only on the future outlook of the current and potential Logismos Information's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Logismos Information's indicators that are reflective of the short sentiment are summarized in the table below.
| Shares Float | 2.5 M |
Logismos Information Technical Analysis
Logismos Information's future price can be derived by breaking down and analyzing its technical indicators over time. Logismos Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Logismos Information Systems. In general, you should focus on analyzing Logismos Stock price patterns and their correlations with different microeconomic environments and drivers.
Logismos Information Predictive Forecast Models
Logismos Information's time-series forecasting models is one of many Logismos Information's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Logismos Information's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Logismos Information
Checking the ongoing alerts about Logismos Information for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Logismos Information help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Logismos Information generated a negative expected return over the last 90 days | |
| Logismos Information may become a speculative penny stock | |
| The company reported the revenue of 2.7 M. Net Loss for the year was (207.01 K) with profit before overhead, payroll, taxes, and interest of 1.65 M. | |
| About 70.0% of the company outstanding shares are owned by corporate insiders |
Other Information on Investing in Logismos Stock
Logismos Information financial ratios help investors to determine whether Logismos 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 Logismos with respect to the benefits of owning Logismos Information security.