Doordash, Class A Stock Alpha and Beta Analysis
| DASH Stock | USD 177.24 4.07 2.35% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as DoorDash, Class A. It also helps investors analyze the systematic and unsystematic risks associated with investing in DoorDash, over a specified time horizon. Remember, high DoorDash,'s alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to DoorDash,'s market risk premium analysis include:
Beta 1.12 | Alpha 0.35 | Risk 1.55 | Sharpe Ratio 0.33 | Expected Return 0.52 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
DoorDash, |
DoorDash, Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. DoorDash, market risk premium is the additional return an investor will receive from holding DoorDash, long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in DoorDash,. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate DoorDash,'s performance over market.| α | 0.35 | β | 1.12 |
DoorDash, expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of DoorDash,'s Buy-and-hold return. Our buy-and-hold chart shows how DoorDash, performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.DoorDash, Market Price Analysis
Market price analysis indicators help investors to evaluate how DoorDash, stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DoorDash, shares will generate the highest return on investment. By understating and applying DoorDash, stock market price indicators, traders can identify DoorDash, position entry and exit signals to maximize returns.
DoorDash, Return and Market Media
The median price of DoorDash, for the period between Tue, Aug 27, 2024 and Mon, Nov 25, 2024 is 144.49 with a coefficient of variation of 11.08. The daily time series for the period is distributed with a sample standard deviation of 16.32, arithmetic mean of 147.26, and mean deviation of 13.53. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Disposition of 13060 shares by Ravi Inukonda of DoorDash, at 7.66 subject to Rule 16b-3 | 09/10/2024 |
2 | Disposition of 11102 shares by Andy Fang of DoorDash, at 130.497 subject to Rule 16b-3 | 09/12/2024 |
3 | DoorDash Reports Q3 Profit, Beats Revenue Expectations, and Stock Rises | 10/31/2024 |
4 | Disposition of 5000 shares by Shona Brown of DoorDash, at 175.0 subject to Rule 16b-3 | 11/11/2024 |
5 | Fideres Investigates DoorDashs Algorithm and Its Impact on Pricing | 11/15/2024 |
6 | DoorDashs app can now import your grocery list for faster shopping | 11/18/2024 |
7 | Disposition of 203 shares by Tony Xu of DoorDash, at 171.508 subject to Rule 16b-3 | 11/19/2024 |
8 | Aldi, DoorDash team up for charcuterie tasting event | 11/20/2024 |
9 | VNET or DASH Which Is the Better Value Stock Right Now | 11/21/2024 |
About DoorDash, Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including DoorDash, or other stocks. Alpha measures the amount that position in DoorDash, Class A has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
| 2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 26.06 | 22.18 | 22.53 | 28.48 | PTB Ratio | 10.75 | 2.68 | 5.71 | 5.42 |
DoorDash, Upcoming Company Events
As portrayed in its financial statements, the presentation of DoorDash,'s financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, DoorDash,'s leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of DoorDash,'s public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of DoorDash,. Please utilize our Beneish M Score to check the likelihood of DoorDash,'s management manipulating its earnings.
| 15th of February 2024 Upcoming Quarterly Report | View | |
| 2nd of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 15th of February 2024 Next Fiscal Year End | View | |
| 30th of September 2023 Last Quarter Report | View | |
| 31st of December 2022 Last Financial Announcement | View |
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Check out DoorDash, Backtesting, DoorDash, Valuation, DoorDash, Correlation, DoorDash, Hype Analysis, DoorDash, Volatility, DoorDash, History and analyze DoorDash, Performance. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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.