Full House Resorts Stock Market Value
| FLL Stock | USD 4.98 0.20 4.18% |
| Symbol | Full |
Full House Resorts Price To Book Ratio
Is Hotels, Restaurants & Leisure 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 Full House. If investors know Full 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 Full House 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 0.056 | Earnings Share (1.18) | Revenue Per Share 8.042 | Quarterly Revenue Growth 0.058 | Return On Assets (0) |
The market value of Full House Resorts is measured differently than its book value, which is the value of Full that is recorded on the company's balance sheet. Investors also form their own opinion of Full House's value that differs from its market value or its book value, called intrinsic value, which is Full House's 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 Full House's market value can be influenced by many factors that don't directly affect Full House's 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 Full House's value and its price as these two are different measures arrived at by different means. Investors typically determine if Full House is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Full House's 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.
Full House '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 Full House's 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 Full House.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Full House on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Full House Resorts or generate 0.0% return on investment in Full House over 30 days. Full House is related to or competes with Golden Entertainment, Red Rock, Century Casinos, Studio City, Ballys Corp, Marriot Vacations, and Vail Resorts. Full House Resorts, Inc. owns, develops, invests in, operates, manages, and leases casinos, and related hospitality and ... More
Full House 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 Full House's 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 Full House Resorts upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 12.48 | |||
| Value At Risk | (2.99) | |||
| Potential Upside | 3.46 |
Full House Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Full House's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Full House's standard deviation. In reality, there are many statistical measures that can use Full House historical prices to predict the future Full House's volatility.| Risk Adjusted Performance | 0.0026 | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (0.02) |
Full House Resorts Backtested Returns
As of now, Full Stock is somewhat reliable. Full House Resorts secures Sharpe Ratio (or Efficiency) of 0.0179, which denotes the company had a 0.0179% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Full House Resorts, which you can use to evaluate the volatility of the firm. Please confirm Full House's Standard Deviation of 2.13, variance of 4.53, and Mean Deviation of 1.52 to check if the risk estimate we provide is consistent with the expected return of 0.0369%. Full House has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.34, which means 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, Full House will likely underperform. Full House Resorts right now shows a risk of 2.06%. Please confirm Full House Resorts kurtosis, and the relationship between the maximum drawdown and day median price , to decide if Full House Resorts will be following its price patterns.
Auto-correlation | -0.39 |
Poor reverse predictability
Full House Resorts has poor reverse predictability. Overlapping area represents the amount of predictability between Full House time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Full House Resorts price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Full House price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Full House Resorts lagged returns against current returns
Autocorrelation, which is Full House 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 Full House's stock expected returns. We can calculate the autocorrelation of Full House returns to help us make a trade decision. For example, suppose you find that Full House 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 |
Full House 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 Full House stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Full House stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Full House stock over time.
Current vs Lagged Prices |
| Timeline |
Full House Lagged Returns
When evaluating Full House's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Full House stock have on its future price. Full House 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, Full House autocorrelation shows the relationship between Full House stock current value and its past values and can show if there is a momentum factor associated with investing in Full House Resorts.
Regressed Prices |
| Timeline |
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Full House 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.