Service Properties Trust Stock Alpha and Beta Analysis
| SVC Stock | USD 2.46 0.08 3.36% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Service Properties Trust. It also helps investors analyze the systematic and unsystematic risks associated with investing in Service Properties over a specified time horizon. Remember, high Service Properties' alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Service Properties' market risk premium analysis include:
Beta 1.26 | Alpha 0.0243 | Risk 3.6 | Sharpe Ratio 0.0026 | Expected Return 0.0094 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
Service |
Service Properties Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Service Properties market risk premium is the additional return an investor will receive from holding Service Properties long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Service Properties. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Service Properties' performance over market.| α | 0.02 | β | 1.26 |
Service Properties expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Service Properties' Buy-and-hold return. Our buy-and-hold chart shows how Service Properties performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Service Properties Market Price Analysis
Market price analysis indicators help investors to evaluate how Service Properties stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Service Properties shares will generate the highest return on investment. By understating and applying Service Properties stock market price indicators, traders can identify Service Properties position entry and exit signals to maximize returns.
Service Properties Return and Market Media
The median price of Service Properties for the period between Sat, Dec 14, 2024 and Fri, Mar 14, 2025 is 2.64 with a coefficient of variation of 6.01. The daily time series for the period is distributed with a sample standard deviation of 0.16, arithmetic mean of 2.66, and mean deviation of 0.13. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Acquisition by Harrington John L. of 3000 shares of Service Properties subject to Rule 16b-3 | 12/24/2024 |
2 | Service Properties Trust Shares Pass Above 50-Day Moving Average - Should You Sell - MarketBeat | 01/28/2025 |
3 | Disposition of 7000 shares by Harrington John L. of Service Properties subject to Rule 16b-3 | 02/24/2025 |
4 | Service Properties Trust Q4 2024 Earnings Report Preview What To Expect | 02/25/2025 |
5 | Service Properties Trust Q4 2024 Earnings Call Highlights Strong Hotel Revenue Growth ... | 02/28/2025 |
6 | 221,000 Shares in Service Properties Trust Acquired by Versor Investments LP - MarketBeat | 03/05/2025 |
7 | Capital Management Corp VA Reduces Stock Holdings in Service Properties Trust - MarketBeat | 03/12/2025 |
About Service Properties Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Service or other stocks. Alpha measures the amount that position in Service Properties Trust has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
| 2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0317 | 0.094 | 0.24 | 0.25 | Price To Sales Ratio | 0.64 | 0.75 | 0.22 | 0.21 |
Service Properties Upcoming Company Events
As portrayed in its financial statements, the presentation of Service Properties' financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Service Properties' leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Service Properties' public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Service Properties. Please utilize our Beneish M Score to check the likelihood of Service Properties' management manipulating its earnings.
| 27th of February 2024 Upcoming Quarterly Report | View | |
| 13th of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 27th of February 2024 Next Fiscal Year End | View | |
| 30th of September 2023 Last Quarter Report | View | |
| 31st of December 2022 Last Financial Announcement | View |
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Check out Service Properties Backtesting, Service Properties Valuation, Service Properties Correlation, Service Properties Hype Analysis, Service Properties Volatility, Service Properties History and analyze Service Properties Performance. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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.