Service Properties Trust Stock Statistic Functions Beta
SVC Stock | USD 2.77 0.05 1.84% |
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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Service Properties Trust correlated with the market. If Beta is less than 0 Service Properties generally moves in the opposite direction as compared to the market. If Service Properties Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Service Properties Trust is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Service Properties is generally in the same direction as the market. If Beta > 1 Service Properties moves generally in the same direction as, but more than the movement of the benchmark.
Service Properties Technical Analysis Modules
Most technical analysis of Service Properties help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Service from various momentum indicators to cycle indicators. When you analyze Service charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Service Properties Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Service Properties Trust. We use our internally-developed statistical techniques to arrive at the intrinsic value of Service Properties Trust based on widely used predictive technical indicators. In general, we focus on analyzing Service Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Service Properties's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Service Properties's intrinsic value. In addition to deriving basic predictive indicators for Service Properties, we also check how macroeconomic factors affect Service Properties price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.00456 | 0.0317 | 0.094 | 0.0905 | Price To Sales Ratio | 0.97 | 0.64 | 0.75 | 0.71 |
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.
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Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Service Properties Trust. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in real. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
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.