Global Fashion (Germany) Probability of Future Stock Price Finishing Over 0.23
| GFG Stock | 0.23 0.01 4.17% |
Global |
Global Fashion Target Price Odds to finish over 0.23
The tendency of Global 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 above the current price in 90 days |
| 0.23 | 90 days | 0.23 | about 65.25 |
Based on a normal probability distribution, the odds of Global Fashion to move above the current price in 90 days from now is about 65.25 (This Global Fashion Group probability density function shows the probability of Global Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon the stock has the beta coefficient of 1.25 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Global Fashion will likely underperform. Additionally Global Fashion Group has an alpha of 0.099, implying that it can generate a 0.099 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Global Fashion Price Density |
| Price |
Predictive Modules for Global Fashion
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Global Fashion Group. 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 Global Fashion'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.
Global Fashion Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Global Fashion is not an exception. The market had few large corrections towards the Global Fashion'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 Global Fashion Group, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Global Fashion within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.1 | |
β | Beta against Dow Jones | 1.25 | |
σ | Overall volatility | 0.03 | |
Ir | Information ratio | 0.02 |
Global Fashion 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 Global Fashion for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Global Fashion Group can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Global Fashion Group had very high historical volatility over the last 90 days | |
| Global Fashion Group has some characteristics of a very speculative penny stock | |
| Global Fashion Group has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 1.56 B. Net Loss for the year was (124.2 M) with profit before overhead, payroll, taxes, and interest of 711.5 M. | |
| Global Fashion Group has accumulated about 400.5 M in cash with (51.2 M) of positive cash flow from operations. | |
| Roughly 29.0% of the company shares are held by company insiders |
Global Fashion 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 Global Stock often depends not only on the future outlook of the current and potential Global Fashion'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. Global Fashion's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 216.1 M | |
| Cash And Short Term Investments | 634.5 M |
Global Fashion Technical Analysis
Global Fashion's future price can be derived by breaking down and analyzing its technical indicators over time. Global Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Global Fashion Group. In general, you should focus on analyzing Global Stock price patterns and their correlations with different microeconomic environments and drivers.
Global Fashion Predictive Forecast Models
Global Fashion's time-series forecasting models is one of many Global Fashion'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 Global Fashion'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 Global Fashion Group
Checking the ongoing alerts about Global Fashion for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Global Fashion Group help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Global Fashion Group had very high historical volatility over the last 90 days | |
| Global Fashion Group has some characteristics of a very speculative penny stock | |
| Global Fashion Group has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 1.56 B. Net Loss for the year was (124.2 M) with profit before overhead, payroll, taxes, and interest of 711.5 M. | |
| Global Fashion Group has accumulated about 400.5 M in cash with (51.2 M) of positive cash flow from operations. | |
| Roughly 29.0% of the company shares are held by company insiders |
Additional Tools for Global Stock Analysis
When running Global Fashion's price analysis, check to measure Global Fashion'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 Global Fashion is operating at the current time. Most of Global Fashion's value examination focuses on studying past and present price action to predict the probability of Global Fashion's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Global Fashion's price. Additionally, you may evaluate how the addition of Global Fashion to your portfolios can decrease your overall portfolio volatility.