Good Times Restaurants Stock Market Value
| GTIM Stock | USD 2.69 0.02 0.74% |
| Symbol | Good |
Good Times Restaurants 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 Good Times. If investors know Good 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 Good Times 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 0.714 | Earnings Share 0.1 | Revenue Per Share 12.523 | Quarterly Revenue Growth 0.065 | Return On Assets 0.0104 |
The market value of Good Times Restaurants is measured differently than its book value, which is the value of Good that is recorded on the company's balance sheet. Investors also form their own opinion of Good Times' value that differs from its market value or its book value, called intrinsic value, which is Good Times' 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 Good Times' market value can be influenced by many factors that don't directly affect Good Times' 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 Good Times' value and its price as these two are different measures arrived at by different means. Investors typically determine if Good Times is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Good Times' 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.
Good Times '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 Good Times' 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 Good Times.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Good Times on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Good Times Restaurants or generate 0.0% return on investment in Good Times over 30 days. Good Times is related to or competes with Auburn National. Good Times Restaurants Inc., through its subsidiaries, engages in the restaurant business in the United States More
Good Times 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 Good Times' 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 Good Times Restaurants upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.4 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 16.72 | |||
| Value At Risk | (3.14) | |||
| Potential Upside | 4.27 |
Good Times Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Good Times' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Good Times' standard deviation. In reality, there are many statistical measures that can use Good Times historical prices to predict the future Good Times' volatility.| Risk Adjusted Performance | 0.0145 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.39) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0246 |
Good Times Restaurants Backtested Returns
Good Times Restaurants holds Efficiency (Sharpe) Ratio of -0.0517, which attests that the entity had a -0.0517% return per unit of risk over the last 3 months. Good Times Restaurants exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Good Times' Market Risk Adjusted Performance of 0.0346, downside deviation of 2.4, and Risk Adjusted Performance of 0.0145 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.64, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Good Times' returns are expected to increase less than the market. However, during the bear market, the loss of holding Good Times is expected to be smaller as well. At this point, Good Times Restaurants has a negative expected return of -0.13%. Please make sure to check out Good Times' maximum drawdown, as well as the relationship between the expected short fall and day median price , to decide if Good Times Restaurants performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.64 |
Good predictability
Good Times Restaurants has good predictability. Overlapping area represents the amount of predictability between Good Times time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Good Times Restaurants price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Good Times price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Good Times Restaurants lagged returns against current returns
Autocorrelation, which is Good Times 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 Good Times' stock expected returns. We can calculate the autocorrelation of Good Times returns to help us make a trade decision. For example, suppose you find that Good Times 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 |
Good Times 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 Good Times stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Good Times stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Good Times stock over time.
Current vs Lagged Prices |
| Timeline |
Good Times Lagged Returns
When evaluating Good Times' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Good Times stock have on its future price. Good Times 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, Good Times autocorrelation shows the relationship between Good Times stock current value and its past values and can show if there is a momentum factor associated with investing in Good Times Restaurants.
Regressed Prices |
| Timeline |
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Good Times 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.