Service Properties Trust Market Value
| 44106MBA9 | 96.15 0.24 0.25% |
| Symbol | Service |
Service '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's bond 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.
| 12/08/2023 |
| 12/02/2024 |
If you would invest 0.00 in Service on December 8, 2023 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 over 360 days. Service is related to or competes with ChampionX, CECO Environmental, Primoris Services, SBM Offshore, Newpark Resources, Park Ohio, and Jacobs Solutions. More
Service 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's bond 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.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 21.89 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 0.8612 |
Service Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Service's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Service's standard deviation. In reality, there are many statistical measures that can use Service historical prices to predict the future Service's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.61) | |||
| Treynor Ratio | 0.7418 |
Service Properties Trust Backtested Returns
Service Properties Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.11, which indicates the bond had a -0.11% return per unit of risk over the last 3 months. Service Properties Trust exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Service's Variance of 8.75, coefficient of variation of (2,732), and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of -0.16, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Service are expected to decrease at a much lower rate. During the bear market, Service is likely to outperform the market.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Service Properties Trust has insignificant reverse predictability. Overlapping area represents the amount of predictability between Service time series from 8th of December 2023 to 5th of June 2024 and 5th of June 2024 to 2nd of December 2024. 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 -0.2 indicates that over 20.0% of current Service price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 3.0 |
Service Properties Trust lagged returns against current returns
Autocorrelation, which is Service bond'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's bond expected returns. We can calculate the autocorrelation of Service returns to help us make a trade decision. For example, suppose you find that Service has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Service bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Service bond over time.
Current vs Lagged Prices |
| Timeline |
Service Lagged Returns
When evaluating Service's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Service bond have on its future price. Service 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 autocorrelation shows the relationship between Service bond 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 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Service Bond
Service financial ratios help investors to determine whether Service Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Service with respect to the benefits of owning Service security.