Smart Share Global Stock Market Value
| EM Stock | USD 1.07 0.02 1.83% |
| Symbol | Smart |
Smart Share Global Price To Book Ratio
Is Smart Share's industry 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.
Earnings Share 0.05 | Revenue Per Share 11.384 | Quarterly Revenue Growth (0.18) | Return On Assets (0.0001) | Return On Equity 0.0325 |
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.
| 05/24/2022 |
| 05/13/2024 |
If you would invest 0.00 in Smart Share on May 24, 2022 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 720 days. Smart Share is related to or competes with WW International, Frontdoor, Mister Car, Rollins, MEDIFAST INC, and Service International. 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 | 5.1 | |||
| Information Ratio | 0.2135 | |||
| Maximum Drawdown | 26.96 | |||
| Value At Risk | (8.00) | |||
| Potential Upside | 10.94 |
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 | 0.1501 | |||
| Jensen Alpha | 1.2 | |||
| Total Risk Alpha | 0.5875 | |||
| Sortino Ratio | 0.2272 | |||
| Treynor Ratio | 2.86 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Smart Share'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.
Smart Share Global Backtested Returns
Smart Share is abnormally volatile given 3 months investment horizon. Smart Share Global owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.28, which indicates the firm had a 0.28% return per unit of risk over the last 3 months. We have collected data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.49% are justified by taking the suggested risk. Use Smart Share Global Coefficient Of Variation of 437.04, risk adjusted performance of 0.1501, and Semi Deviation of 4.17 to evaluate company specific risk that cannot be diversified away. Smart Share holds a performance score of 21 on a scale of zero to a hundred. The entity has a beta of 0.43, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Smart Share's returns are expected to increase less than the market. However, during the bear market, the loss of holding Smart Share is expected to be smaller as well. Use Smart Share Global value at risk, daily balance of power, and the relationship between the total risk alpha and expected short fall , to analyze future returns on Smart Share Global.
Auto-correlation | -0.28 |
Weak reverse predictability
Smart Share Global has weak reverse predictability. Overlapping area represents the amount of predictability between Smart Share time series from 24th of May 2022 to 19th of May 2023 and 19th of May 2023 to 13th of May 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 Smart Share Global price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Smart Share price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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 |
Pair Trading with Smart Share
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Smart Share position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Smart Share will appreciate offsetting losses from the drop in the long position's value.Moving together with Smart Stock
| 0.7 | CMG | Chipotle Mexican Grill | PairCorr |
Moving against Smart Stock
| 0.72 | BTBD | Bt Brands | PairCorr |
| 0.69 | CBRL | Cracker Barrel Old Financial Report 4th of June 2024 | PairCorr |
| 0.58 | BOWL | Bowlero Corp Financial Report 15th of May 2024 | PairCorr |
| 0.54 | DLTH | Duluth Holdings Financial Report 6th of June 2024 | PairCorr |
| 0.46 | DXLG | Destination XL Group Financial Report 23rd of May 2024 | PairCorr |
The ability to find closely correlated positions to Smart Share could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Smart Share when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Smart Share - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Smart Share Global to buy it.
The correlation of Smart Share is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Smart Share moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Smart Share Global moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Smart Share can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Smart Share Correlation, Smart Share Volatility and Smart Share Alpha and Beta module to complement your research on Smart Share. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Complementary Tools for Smart Stock analysis
When running Smart Share's price analysis, check to measure Smart Share's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Smart Share is operating at the current time. Most of Smart Share's value examination focuses on studying past and present price action to predict the probability of Smart Share's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smart Share's price. Additionally, you may evaluate how the addition of Smart Share to your portfolios can decrease your overall portfolio volatility.
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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.