Mantex AB (Sweden) Analysis

Mantex Stock Analysis Notes

About 26.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.15. Mantex AB had not issued any dividends in recent years. Mantex AB manufactures and sells industrial X-ray scanners for bioenergy, pulp and paper, research, and other applications in Sweden and internationally. The company offers biofuel analyzers that assess the quality of wood-based biofuels flow scanners to scan wood chips for pulp and paper production and log scanners for foreign object detection and log measurements. Mantex AB is traded on Stockholm Stock Exchange in Sweden. To find out more about Mantex AB contact Max Gerger at 46 84 77 04 80 or learn more at https://www.mantex.se.

Mantex AB Investment Alerts

Mantex Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 122.58 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Mantex AB's market, we take the total number of its shares issued and multiply it by Mantex AB's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Technical Drivers

As of the 1st of December, Mantex AB secures the Mean Deviation of 4.38, standard deviation of 6.94, and Risk Adjusted Performance of (0.20). In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Mantex AB, as well as the relationship between them.

Mantex AB Price Movement Analysis

Mantex AB Outstanding Bonds

Mantex AB Predictive Daily Indicators

Mantex AB Forecast Models

Mantex AB's time-series forecasting models are one of many Mantex AB's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These non-stationary Mantex AB'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 market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Mantex AB prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Mantex shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Mantex AB. By using and applying Mantex Stock analysis, traders can create a robust methodology for identifying Mantex entry and exit points for their positions.

When running Mantex AB's price analysis, check to measure Mantex AB'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 Mantex AB is operating at the current time. Most of Mantex AB's value examination focuses on studying past and present price action to predict the probability of Mantex AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mantex AB's price. Additionally, you may evaluate how the addition of Mantex AB to your portfolios can decrease your overall portfolio volatility.