Doordash, Class A Stock Market Value
| DASH Stock | USD 178.44 0.57 0.32% |
| Symbol | DoorDash, |
DoorDash, Class A 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 DoorDash,. If investors know DoorDash, 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 DoorDash, listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.43) | Revenue Per Share 24.936 | Quarterly Revenue Growth 0.25 | Return On Assets (0.01) | Return On Equity (0.03) |
The market value of DoorDash, Class A is measured differently than its book value, which is the value of DoorDash, that is recorded on the company's balance sheet. Investors also form their own opinion of DoorDash,'s value that differs from its market value or its book value, called intrinsic value, which is DoorDash,'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 DoorDash,'s market value can be influenced by many factors that don't directly affect DoorDash,'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 DoorDash,'s value and its price as these two are different measures arrived at by different means. Investors typically determine if DoorDash, is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DoorDash,'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.
DoorDash, '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 DoorDash,'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 DoorDash,.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in DoorDash, on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding DoorDash, Class A or generate 0.0% return on investment in DoorDash, over 30 days. DoorDash, is related to or competes with Snap, Twilio, Fiverr International, Spotify Technology, Baidu, Zillow, and Pinterest. DoorDash, Inc. operates a logistics platform that connects merchants, consumers, and dashers in the United States and in... More
DoorDash, 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 DoorDash,'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 DoorDash, Class A upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | 0.2518 | |||
| Maximum Drawdown | 8.9 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 3.35 |
DoorDash, Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DoorDash,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DoorDash,'s standard deviation. In reality, there are many statistical measures that can use DoorDash, historical prices to predict the future DoorDash,'s volatility.| Risk Adjusted Performance | 0.2608 | |||
| Jensen Alpha | 0.367 | |||
| Total Risk Alpha | 0.2701 | |||
| Sortino Ratio | 0.3068 | |||
| Treynor Ratio | 0.4331 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DoorDash,'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.
DoorDash, Class A Backtested Returns
DoorDash, appears to be very steady, given 3 months investment horizon. DoorDash, Class A secures Sharpe Ratio (or Efficiency) of 0.34, which denotes the company had a 0.34% return per unit of risk over the last 3 months. By reviewing DoorDash,'s technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please utilize DoorDash,'s Mean Deviation of 1.12, downside deviation of 1.25, and Coefficient Of Variation of 299.55 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, DoorDash, holds a performance score of 26. The firm shows a Beta (market volatility) of 1.16, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, DoorDash, will likely underperform. Please check DoorDash,'s sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to make a quick decision on whether DoorDash,'s price patterns will revert.
Auto-correlation | 0.73 |
Good predictability
DoorDash, Class A has good predictability. Overlapping area represents the amount of predictability between DoorDash, time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 DoorDash, Class A price movement. The serial correlation of 0.73 indicates that around 73.0% of current DoorDash, price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 9.15 |
DoorDash, Class A lagged returns against current returns
Autocorrelation, which is DoorDash, 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 DoorDash,'s stock expected returns. We can calculate the autocorrelation of DoorDash, returns to help us make a trade decision. For example, suppose you find that DoorDash, 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 |
DoorDash, 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 DoorDash, stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DoorDash, stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DoorDash, stock over time.
Current vs Lagged Prices |
| Timeline |
DoorDash, Lagged Returns
When evaluating DoorDash,'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DoorDash, stock have on its future price. DoorDash, 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, DoorDash, autocorrelation shows the relationship between DoorDash, stock current value and its past values and can show if there is a momentum factor associated with investing in DoorDash, Class A.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether DoorDash, Class A offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DoorDash,'s financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Doordash, Class A Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Doordash, Class A Stock:Check out DoorDash, Correlation, DoorDash, Volatility and DoorDash, Alpha and Beta module to complement your research on DoorDash,. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
DoorDash, 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.