Smart Share Global Stock Market Value
EM Stock | USD 1.07 0.05 4.90% |
Symbol | Smart |
Smart Share Global 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 Smart Share. If investors know Smart 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 Smart Share 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 (0.62) | Earnings Share 0.03 | Revenue Per Share | Quarterly Revenue Growth (0.55) | Return On Assets |
The market value of Smart Share Global is measured differently than its book value, which is the value of Smart that is recorded on the company's balance sheet. Investors also form their own opinion of Smart Share's value that differs from its market value or its book value, called intrinsic value, which is Smart Share'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 Smart Share's market value can be influenced by many factors that don't directly affect Smart Share'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 Smart Share's value and its price as these two are different measures arrived at by different means. Investors typically determine if Smart Share is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Smart Share'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.
Smart Share '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 Smart Share'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 Smart Share.
12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in Smart Share on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Smart Share Global or generate 0.0% return on investment in Smart Share over 30 days. Smart Share is related to or competes with Frontdoor, Bright Horizons, Mister Car, Carriage Services, Service International, and Rollins. Smart Share Global Limited, a consumer tech company, provides mobile device charging services in the Peoples Republic of... More
Smart Share 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 Smart Share'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 Smart Share Global upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 3.31 | |||
Information Ratio | 0.1128 | |||
Maximum Drawdown | 40.89 | |||
Value At Risk | (4.17) | |||
Potential Upside | 4.55 |
Smart Share Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smart Share's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smart Share's standard deviation. In reality, there are many statistical measures that can use Smart Share historical prices to predict the future Smart Share's volatility.Risk Adjusted Performance | 0.1073 | |||
Jensen Alpha | 0.6478 | |||
Total Risk Alpha | 0.5046 | |||
Sortino Ratio | 0.1855 | |||
Treynor Ratio | (0.82) |
Smart Share Global Backtested Returns
Smart Share appears to be extremely dangerous, given 3 months investment horizon. Smart Share Global owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the firm had a 0.14% return per unit of risk over the last 3 months. By inspecting Smart Share's technical indicators, you can evaluate if the expected return of 0.79% is justified by implied risk. Please review Smart Share's Coefficient Of Variation of 845.78, risk adjusted performance of 0.1073, and Semi Deviation of 2.13 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Smart Share holds a performance score of 11. The entity has a beta of -0.77, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Smart Share are expected to decrease at a much lower rate. During the bear market, Smart Share is likely to outperform the market. Please check Smart Share's value at risk, daily balance of power, and the relationship between the total risk alpha and expected short fall , to make a quick decision on whether Smart Share's existing price patterns will revert.
Auto-correlation | 0.02 |
Virtually no predictability
Smart Share Global has virtually no predictability. Overlapping area represents the amount of predictability between Smart Share time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 to 18th 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 Smart Share Global price movement. The serial correlation of 0.02 indicates that only 2.0% of current Smart Share price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.02 | |
Spearman Rank Test | 0.39 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Smart Share Global lagged returns against current returns
Autocorrelation, which is Smart Share 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 Smart Share's stock expected returns. We can calculate the autocorrelation of Smart Share returns to help us make a trade decision. For example, suppose you find that Smart Share 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 |
Smart Share 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 Smart Share stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Smart Share stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Smart Share stock over time.
Current vs Lagged Prices |
Timeline |
Smart Share Lagged Returns
When evaluating Smart Share's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Smart Share stock have on its future price. Smart Share 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, Smart Share autocorrelation shows the relationship between Smart Share stock current value and its past values and can show if there is a momentum factor associated with investing in Smart Share Global.
Regressed Prices |
Timeline |
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Smart Share 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.