Verra Mobility Corp Stock Market Value
| VRRM Stock | USD 23.19 0.22 0.96% |
| Symbol | Verra |
Verra Mobility Corp Price To Book Ratio
Is Internet Services & Infrastructure 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 Verra Mobility. If investors know Verra 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 Verra Mobility 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 0.167 | Earnings Share 0.6 | Revenue Per Share 5.237 | Quarterly Revenue Growth 0.074 | Return On Assets 0.0827 |
The market value of Verra Mobility Corp is measured differently than its book value, which is the value of Verra that is recorded on the company's balance sheet. Investors also form their own opinion of Verra Mobility's value that differs from its market value or its book value, called intrinsic value, which is Verra Mobility'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 Verra Mobility's market value can be influenced by many factors that don't directly affect Verra Mobility'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 Verra Mobility's value and its price as these two are different measures arrived at by different means. Investors typically determine if Verra Mobility is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Verra Mobility'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.
Verra Mobility '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 Verra Mobility'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 Verra Mobility.
| 12/02/2022 |
| 11/21/2024 |
If you would invest 0.00 in Verra Mobility on December 2, 2022 and sell it all today you would earn a total of 0.00 from holding Verra Mobility Corp or generate 0.0% return on investment in Verra Mobility over 720 days. Verra Mobility is related to or competes with Option Care, R1 RCM, ABIVAX Socit, SCOR PK, HUMANA, Small Cap, and Morningstar Unconstrained. Verra Mobility Corporation provides smart mobility technology solutions and services in the United States, Australia, Ca... More
Verra Mobility 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 Verra Mobility'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 Verra Mobility Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 14.0 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 2.49 |
Verra Mobility Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Verra Mobility's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Verra Mobility's standard deviation. In reality, there are many statistical measures that can use Verra Mobility historical prices to predict the future Verra Mobility's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.34) |
Verra Mobility Corp Backtested Returns
Verra Mobility Corp 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. Verra Mobility Corp exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Verra Mobility's Risk Adjusted Performance of (0.08), coefficient of variation of (836.87), and Variance of 3.85 to confirm the risk estimate we provide. The entity has a beta of 0.71, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Verra Mobility's returns are expected to increase less than the market. However, during the bear market, the loss of holding Verra Mobility is expected to be smaller as well. At this point, Verra Mobility Corp has a negative expected return of -0.27%. Please make sure to validate Verra Mobility's value at risk and rate of daily change , to decide if Verra Mobility Corp performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.76 |
Good predictability
Verra Mobility Corp has good predictability. Overlapping area represents the amount of predictability between Verra Mobility time series from 2nd of December 2022 to 27th of November 2023 and 27th of November 2023 to 21st 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 Verra Mobility Corp price movement. The serial correlation of 0.76 indicates that around 76.0% of current Verra Mobility price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 6.67 |
Verra Mobility Corp lagged returns against current returns
Autocorrelation, which is Verra Mobility 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 Verra Mobility's stock expected returns. We can calculate the autocorrelation of Verra Mobility returns to help us make a trade decision. For example, suppose you find that Verra Mobility 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 |
Verra Mobility 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 Verra Mobility stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Verra Mobility stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Verra Mobility stock over time.
Current vs Lagged Prices |
| Timeline |
Verra Mobility Lagged Returns
When evaluating Verra Mobility's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Verra Mobility stock have on its future price. Verra Mobility 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, Verra Mobility autocorrelation shows the relationship between Verra Mobility stock current value and its past values and can show if there is a momentum factor associated with investing in Verra Mobility Corp.
Regressed Prices |
| Timeline |
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Verra Mobility 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.