HOSPITALITY PPTYS TR Market Value
44106MAX0 | 74.09 13.00 14.93% |
Symbol | HOSPITALITY |
HOSPITALITY '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 HOSPITALITY'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 HOSPITALITY.
12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in HOSPITALITY on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding HOSPITALITY PPTYS TR or generate 0.0% return on investment in HOSPITALITY over 720 days. HOSPITALITY is related to or competes with 00108WAF7, 90331HPL1, American Express, Chevron Corp, Cisco Systems, Verizon Communications, and Merck. More
HOSPITALITY 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 HOSPITALITY'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 HOSPITALITY PPTYS TR upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.09) | |||
Maximum Drawdown | 20.98 | |||
Value At Risk | (2.41) | |||
Potential Upside | 3.03 |
HOSPITALITY Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HOSPITALITY's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HOSPITALITY's standard deviation. In reality, there are many statistical measures that can use HOSPITALITY historical prices to predict the future HOSPITALITY's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.17) | |||
Total Risk Alpha | (0.72) | |||
Treynor Ratio | 43.93 |
HOSPITALITY PPTYS Backtested Returns
HOSPITALITY PPTYS holds Efficiency (Sharpe) Ratio of -0.1, which attests that the entity had a -0.1% return per unit of volatility over the last 3 months. HOSPITALITY PPTYS exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HOSPITALITY's risk adjusted performance of (0.03), and Market Risk Adjusted Performance of 43.94 to validate the risk estimate we provide. The bond retains a Market Volatility (i.e., Beta) of -0.0038, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning HOSPITALITY are expected to decrease at a much lower rate. During the bear market, HOSPITALITY is likely to outperform the market.
Auto-correlation | 0.07 |
Virtually no predictability
HOSPITALITY PPTYS TR has virtually no predictability. Overlapping area represents the amount of predictability between HOSPITALITY time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st 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 HOSPITALITY PPTYS price movement. The serial correlation of 0.07 indicates that barely 7.0% of current HOSPITALITY price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.07 | |
Spearman Rank Test | 0.14 | |
Residual Average | 0.0 | |
Price Variance | 2.67 |
HOSPITALITY PPTYS lagged returns against current returns
Autocorrelation, which is HOSPITALITY 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 HOSPITALITY's bond expected returns. We can calculate the autocorrelation of HOSPITALITY returns to help us make a trade decision. For example, suppose you find that HOSPITALITY 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 |
HOSPITALITY 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 HOSPITALITY bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HOSPITALITY bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HOSPITALITY bond over time.
Current vs Lagged Prices |
Timeline |
HOSPITALITY Lagged Returns
When evaluating HOSPITALITY's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HOSPITALITY bond have on its future price. HOSPITALITY 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, HOSPITALITY autocorrelation shows the relationship between HOSPITALITY bond current value and its past values and can show if there is a momentum factor associated with investing in HOSPITALITY PPTYS TR.
Regressed Prices |
Timeline |
Also Currently Popular
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 HOSPITALITY Bond
HOSPITALITY financial ratios help investors to determine whether HOSPITALITY 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 HOSPITALITY with respect to the benefits of owning HOSPITALITY security.