Service Properties (Germany) Market Value
| HPO Stock | EUR 2.24 0.04 1.75% |
| Symbol | Service |
Service Properties 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Service Properties' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Service Properties.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Service Properties on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Service Properties Trust or generate 0.0% return on investment in Service Properties over 90 days. Service Properties is related to or competes with Host Hotels, Sunstone Hotel, Xenia Hotels, Summit Hotel. Hospitality Properties Trust is a real estate investment trust, or REIT, which owns a diverse portfolio of hotels and tr... More
Service Properties Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Service Properties' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Service Properties Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.17 | |||
| Information Ratio | 0.1201 | |||
| Maximum Drawdown | 16.68 | |||
| Value At Risk | (3.41) | |||
| Potential Upside | 6.19 |
Service Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Service Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Service Properties' standard deviation. In reality, there are many statistical measures that can use Service Properties historical prices to predict the future Service Properties' volatility.| Risk Adjusted Performance | 0.1607 | |||
| Jensen Alpha | 0.4784 | |||
| Total Risk Alpha | 0.0675 | |||
| Sortino Ratio | 0.1756 | |||
| Treynor Ratio | 2.02 |
Service Properties Trust Backtested Returns
Service Properties appears to be risky, given 3 months investment horizon. Service Properties Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the firm had a 0.19 % return per unit of risk over the last 3 months. By inspecting Service Properties' technical indicators, you can evaluate if the expected return of 0.6% is justified by implied risk. Please review Service Properties' Coefficient Of Variation of 608.03, risk adjusted performance of 0.1607, and Semi Deviation of 1.8 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Service Properties holds a performance score of 14. The entity has a beta of 0.25, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Service Properties' returns are expected to increase less than the market. However, during the bear market, the loss of holding Service Properties is expected to be smaller as well. Please check Service Properties' potential upside, skewness, and the relationship between the maximum drawdown and semi variance , to make a quick decision on whether Service Properties' existing price patterns will revert.
Auto-correlation | 0.53 |
Modest predictability
Service Properties Trust has modest predictability. Overlapping area represents the amount of predictability between Service Properties time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Service Properties Trust price movement. The serial correlation of 0.53 indicates that about 53.0% of current Service Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Service Properties Trust lagged returns against current returns
Autocorrelation, which is Service Properties stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Service Properties' stock expected returns. We can calculate the autocorrelation of Service Properties returns to help us make a trade decision. For example, suppose you find that Service Properties has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Service Properties regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Service Properties stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Service Properties stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Service Properties stock over time.
Current vs Lagged Prices |
| Timeline |
Service Properties Lagged Returns
When evaluating Service Properties' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Service Properties stock have on its future price. Service Properties autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Service Properties autocorrelation shows the relationship between Service Properties stock current value and its past values and can show if there is a momentum factor associated with investing in Service Properties Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
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 Correlation, Service Properties Volatility and Service Properties Alpha and Beta module to complement your research on Service Properties. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Service Properties technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.