Good Life China Stock Market Value
Good Life's market value is the price at which a share of Good Life trades on a public exchange. It measures the collective expectations of Good Life China investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Good Life China and determine expected loss or profit from investing in Good Life over a given investment horizon. Check out Good Life Correlation, Good Life Volatility and Good Life Alpha and Beta module to complement your research on Good Life.
| Symbol | Good |
Is Consumer Staples Distribution & Retail 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 Life. 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 Life listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.12) | Revenue Per Share 0.001 | Quarterly Revenue Growth (0.76) |
The market value of Good Life China 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 Life's value that differs from its market value or its book value, called intrinsic value, which is Good Life'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 Good Life's market value can be influenced by many factors that don't directly affect Good Life'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 Good Life's value and its price as these two are different measures arrived at by different means. Investors typically determine if Good Life is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Good Life'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.
Good Life '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 Life'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 Good Life.
| 02/13/2023 |
| 01/03/2025 |
If you would invest 0.00 in Good Life on February 13, 2023 and sell it all today you would earn a total of 0.00 from holding Good Life China or generate 0.0% return on investment in Good Life over 690 days. Good Life is related to or competes with Sonos, CenterPoint Energy, Celestica, Kulicke, United Microelectronics, Enel Chile, and Archrock. Good Life China Corporation operates a chain of franchised convenience stores in Hebei Province, the Peoples Republic of... More
Good Life 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 Life'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 Good Life China upside and downside potential and time the market with a certain degree of confidence.
Good Life Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Good Life's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Good Life's standard deviation. In reality, there are many statistical measures that can use Good Life historical prices to predict the future Good Life's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Good Life's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Good Life China Backtested Returns
We have found zero technical indicators for Good Life China, which you can use to evaluate the volatility of the firm. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Good Life are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Good Life China has no correlation between past and present. Overlapping area represents the amount of predictability between Good Life time series from 13th of February 2023 to 24th of January 2024 and 24th of January 2024 to 3rd of January 2025. 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 Life China price movement. The serial correlation of 0.0 indicates that just 0.0% of current Good Life price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Good Life China lagged returns against current returns
Autocorrelation, which is Good Life 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 Life's stock expected returns. We can calculate the autocorrelation of Good Life returns to help us make a trade decision. For example, suppose you find that Good Life 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 Life 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 Life stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Good Life stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Good Life stock over time.
Current vs Lagged Prices |
| Timeline |
Good Life Lagged Returns
When evaluating Good Life's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Good Life stock have on its future price. Good Life 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 Life autocorrelation shows the relationship between Good Life stock current value and its past values and can show if there is a momentum factor associated with investing in Good Life China.
Regressed Prices |
| Timeline |
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Check out Good Life Correlation, Good Life Volatility and Good Life Alpha and Beta module to complement your research on Good Life. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Good Life 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.