Service Properties Trust Stock Probability of Future Stock Price Finishing Under 4.7
| SVC Stock | USD 2.78 0.01 0.36% |
Service |
Service Properties Target Price Odds to finish below 4.7
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 stay under $ 4.70 after 90 days |
| 2.78 | 90 days | 4.70 | about 81.59 |
Based on a normal probability distribution, the odds of Service Properties to stay under $ 4.70 after 90 days from now is about 81.59 (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 its current price of $ 2.78 and $ 4.70 at the end of the 90-day period is about 74.14 .
Considering the 90-day investment horizon the stock has the beta coefficient of 1.8 . This usually implies as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Service Properties will likely underperform. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Service Properties' 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.
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 | -0.9 | |
β | Beta against Dow Jones | 1.80 | |
σ | Overall volatility | 0.82 | |
Ir | Information ratio | -0.2 |
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 | |
| The company reported the last year's revenue of 1.87 B. Reported Net Loss for the year was (32.78 M) with profit before taxes, overhead, and interest of 633.73 M. | |
| Over 81.0% of the company shares are owned by institutional investors | |
| On 14th of November 2024 Service Properties paid $ 0.01 per share dividend to its current shareholders | |
| Latest headline from MacroaxisInsider: Acquisition by Brian Donley of 2000 shares of Service Properties at 9.9699 subject to Rule 16b-3 |
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 M | |
| Cash And Short Term Investments | 180.1 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 | |
| The company reported the last year's revenue of 1.87 B. Reported Net Loss for the year was (32.78 M) with profit before taxes, overhead, and interest of 633.73 M. | |
| Over 81.0% of the company shares are owned by institutional investors | |
| On 14th of November 2024 Service Properties paid $ 0.01 per share dividend to its current shareholders | |
| Latest headline from MacroaxisInsider: Acquisition by Brian Donley of 2000 shares of Service Properties at 9.9699 subject to Rule 16b-3 |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Is Diversified REITs space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Service Properties. If investors know Service will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Service Properties listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.66) | Dividend Share 0.61 | Earnings Share (1.47) | Revenue Per Share 11.405 | Quarterly Revenue Growth (0.01) |
The market value of Service Properties Trust is measured differently than its book value, which is the value of Service that is recorded on the company's balance sheet. Investors also form their own opinion of Service Properties' value that differs from its market value or its book value, called intrinsic value, which is Service Properties' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Service Properties' market value can be influenced by many factors that don't directly affect Service Properties' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Service Properties' value and its price as these two are different measures arrived at by different means. Investors typically determine if Service Properties is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Service Properties' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.