Park Hotels Resorts Stock Market Value
PK Stock | USD 15.05 0.37 2.52% |
Symbol | Park |
Park Hotels Resorts Price To Book Ratio
Is Hotel & Resort 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 Park Hotels. If investors know Park 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 Park Hotels 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 1.02 | Dividend Share 1.68 | Earnings Share 1.55 | Revenue Per Share 12.798 | Quarterly Revenue Growth (0.01) |
The market value of Park Hotels Resorts is measured differently than its book value, which is the value of Park that is recorded on the company's balance sheet. Investors also form their own opinion of Park Hotels' value that differs from its market value or its book value, called intrinsic value, which is Park Hotels' 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 Park Hotels' market value can be influenced by many factors that don't directly affect Park Hotels' 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 Park Hotels' value and its price as these two are different measures arrived at by different means. Investors typically determine if Park Hotels is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Park Hotels' 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.
Park Hotels '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 Park Hotels' 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 Park Hotels.
12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in Park Hotels on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding Park Hotels Resorts or generate 0.0% return on investment in Park Hotels over 720 days. Park Hotels is related to or competes with Diamondrock Hospitality, Ryman Hospitality, Pebblebrook Hotel, Sunstone Hotel, RLJ Lodging, and Summit Hotel. Park is the second largest publicly traded lodging REIT with a diverse portfolio of market-leading hotels and resorts wi... More
Park Hotels 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 Park Hotels' 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 Park Hotels Resorts upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.7 | |||
Information Ratio | (0.04) | |||
Maximum Drawdown | 10.98 | |||
Value At Risk | (2.71) | |||
Potential Upside | 2.85 |
Park Hotels Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Park Hotels' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Park Hotels' standard deviation. In reality, there are many statistical measures that can use Park Hotels historical prices to predict the future Park Hotels' volatility.Risk Adjusted Performance | 0.0292 | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.25) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | 0.0309 |
Park Hotels Resorts Backtested Returns
As of now, Park Stock is not too volatile. Park Hotels Resorts maintains Sharpe Ratio (i.e., Efficiency) of 0.0339, which implies the firm had a 0.0339% return per unit of risk over the last 3 months. We have found thirty technical indicators for Park Hotels Resorts, which you can use to evaluate the volatility of the company. Please check Park Hotels' Risk Adjusted Performance of 0.0292, coefficient of variation of 3282.24, and Semi Deviation of 1.62 to confirm if the risk estimate we provide is consistent with the expected return of 0.0634%. Park Hotels has a performance score of 2 on a scale of 0 to 100. The company holds a Beta of 1.51, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Park Hotels will likely underperform. Park Hotels Resorts right now holds a risk of 1.87%. Please check Park Hotels Resorts potential upside, as well as the relationship between the kurtosis and day typical price , to decide if Park Hotels Resorts will be following its historical price patterns.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Park Hotels Resorts has insignificant reverse predictability. Overlapping area represents the amount of predictability between Park Hotels time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th of November 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 Park Hotels Resorts price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Park Hotels price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.15 | |
Spearman Rank Test | 0.01 | |
Residual Average | 0.0 | |
Price Variance | 0.88 |
Park Hotels Resorts lagged returns against current returns
Autocorrelation, which is Park Hotels 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 Park Hotels' stock expected returns. We can calculate the autocorrelation of Park Hotels returns to help us make a trade decision. For example, suppose you find that Park Hotels 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 |
Park Hotels 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 Park Hotels stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Park Hotels stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Park Hotels stock over time.
Current vs Lagged Prices |
Timeline |
Park Hotels Lagged Returns
When evaluating Park Hotels' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Park Hotels stock have on its future price. Park Hotels 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, Park Hotels autocorrelation shows the relationship between Park Hotels stock current value and its past values and can show if there is a momentum factor associated with investing in Park Hotels Resorts.
Regressed Prices |
Timeline |
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Park Hotels 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.