Service Properties (Germany) Probability of Future Stock Price Finishing Under 0.03
| HPO Stock | EUR 2.63 0.21 8.68% |
Service |
Service Properties Target Price Odds to finish below 0.03
The tendency of Service 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 drop to € 0.03 or more in 90 days |
| 2.63 | 90 days | 0.03 | near 1 |
Based on a normal probability distribution, the odds of Service Properties to drop to € 0.03 or more in 90 days from now is near 1 (This Service Properties Trust probability density function shows the probability of Service Stock to fall within a particular range of prices over 90 days) . Probability of Service Properties Trust price to stay between € 0.03 and its current price of €2.63 at the end of the 90-day period is about 12.3 .
Assuming the 90 days horizon the stock has the beta coefficient of 1.08 . This usually indicates Service Properties Trust market returns are reactive to returns on the market. As the market goes up or down, Service Properties is expected to follow. Additionally Service Properties Trust 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. Service Properties Price Density |
| Price |
Predictive Modules for Service Properties
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Service Properties Trust. 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.Service Properties Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Service Properties is not an exception. The market had few large corrections towards the Service Properties' 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 Service Properties Trust, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Service Properties within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.68 | |
β | Beta against Dow Jones | 1.08 | |
σ | Overall volatility | 0.69 | |
Ir | Information ratio | -0.14 |
Service Properties 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 Service Properties for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Service Properties Trust can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Service Properties generated a negative expected return over the last 90 days | |
| Service Properties has high historical volatility and very poor performance | |
| Service Properties has high likelihood to experience some financial distress in the next 2 years | |
| Service Properties has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations | |
| The company reported the revenue of 1.86 B. Net Loss for the year was (132.38 M) with profit before overhead, payroll, taxes, and interest of 903.43 M. | |
| Over 75.0% of the company shares are owned by institutional investors |
Service Properties 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 Service Stock often depends not only on the future outlook of the current and potential Service Properties' 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. Service Properties' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 165.5 M | |
| Forward Annual Dividend Rate | 0.03 | |
| Shares Float | 164.3 M |
Service Properties Technical Analysis
Service Properties' future price can be derived by breaking down and analyzing its technical indicators over time. Service Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Service Properties Trust. In general, you should focus on analyzing Service Stock price patterns and their correlations with different microeconomic environments and drivers.
Service Properties Predictive Forecast Models
Service Properties' time-series forecasting models is one of many Service Properties' 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 Service Properties' 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 Service Properties Trust
Checking the ongoing alerts about Service Properties for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Service Properties Trust help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Service Properties generated a negative expected return over the last 90 days | |
| Service Properties has high historical volatility and very poor performance | |
| Service Properties has high likelihood to experience some financial distress in the next 2 years | |
| Service Properties has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations | |
| The company reported the revenue of 1.86 B. Net Loss for the year was (132.38 M) with profit before overhead, payroll, taxes, and interest of 903.43 M. | |
| Over 75.0% of the company shares are owned by institutional investors |
Additional Information and Resources on Investing in Service Stock
When determining whether Service Properties Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Service Properties' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Service Properties Trust Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Service Properties Trust Stock:Check out Service Properties Backtesting, Service Properties Valuation, Service Properties Correlation, Service Properties Hype Analysis, Service Properties Volatility, Service Properties History as well as Service Properties Performance. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..