Eventbrite Class A Stock Market Value
| EB Stock | USD 3.17 0.16 4.80% |
| Symbol | Eventbrite |
Eventbrite Class A Price To Book Ratio
Is Interactive Media & Services 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 Eventbrite. If investors know Eventbrite 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 Eventbrite listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.08) | Revenue Per Share | Quarterly Revenue Growth (0.05) | Return On Assets | Return On Equity |
The market value of Eventbrite Class A is measured differently than its book value, which is the value of Eventbrite that is recorded on the company's balance sheet. Investors also form their own opinion of Eventbrite's value that differs from its market value or its book value, called intrinsic value, which is Eventbrite'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 Eventbrite's market value can be influenced by many factors that don't directly affect Eventbrite'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 Eventbrite's value and its price as these two are different measures arrived at by different means. Investors typically determine if Eventbrite is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Eventbrite'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.
Eventbrite '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 Eventbrite'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 Eventbrite.
| 02/14/2023 |
| 02/03/2025 |
If you would invest 0.00 in Eventbrite on February 14, 2023 and sell it all today you would earn a total of 0.00 from holding Eventbrite Class A or generate 0.0% return on investment in Eventbrite over 720 days. Eventbrite is related to or competes with Enfusion, ON24, Paycor HCM, Clearwater Analytics, Expensify, VTEX, and Meridianlink. Eventbrite, Inc. operates a self-service ticketing and experience technology platform that serves event creators in the ... More
Eventbrite 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 Eventbrite'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 Eventbrite Class A upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.36 | |||
| Information Ratio | 0.0183 | |||
| Maximum Drawdown | 13.83 | |||
| Value At Risk | (4.80) | |||
| Potential Upside | 6.82 |
Eventbrite Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Eventbrite's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Eventbrite's standard deviation. In reality, there are many statistical measures that can use Eventbrite historical prices to predict the future Eventbrite's volatility.| Risk Adjusted Performance | 0.042 | |||
| Jensen Alpha | 0.0815 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.0188 | |||
| Treynor Ratio | 0.1799 |
Eventbrite Class A Backtested Returns
Eventbrite Class A secures Sharpe Ratio (or Efficiency) of -0.0151, which denotes the company had a -0.0151 % return per unit of risk over the last 3 months. Eventbrite Class A exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Eventbrite's Mean Deviation of 2.71, coefficient of variation of 2433.77, and Downside Deviation of 3.36 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.73, which means possible diversification benefits within a given portfolio. As returns on the market increase, Eventbrite's returns are expected to increase less than the market. However, during the bear market, the loss of holding Eventbrite is expected to be smaller as well. At this point, Eventbrite Class A has a negative expected return of -0.0521%. Please make sure to confirm Eventbrite's total risk alpha, value at risk, and the relationship between the standard deviation and treynor ratio , to decide if Eventbrite Class A performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.12 |
Insignificant reverse predictability
Eventbrite Class A has insignificant reverse predictability. Overlapping area represents the amount of predictability between Eventbrite time series from 14th of February 2023 to 9th of February 2024 and 9th of February 2024 to 3rd of February 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 Eventbrite Class A price movement. The serial correlation of -0.12 indicates that less than 12.0% of current Eventbrite price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 1.91 |
Eventbrite Class A lagged returns against current returns
Autocorrelation, which is Eventbrite 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 Eventbrite's stock expected returns. We can calculate the autocorrelation of Eventbrite returns to help us make a trade decision. For example, suppose you find that Eventbrite 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 |
Eventbrite 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 Eventbrite stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Eventbrite stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Eventbrite stock over time.
Current vs Lagged Prices |
| Timeline |
Eventbrite Lagged Returns
When evaluating Eventbrite's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Eventbrite stock have on its future price. Eventbrite 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, Eventbrite autocorrelation shows the relationship between Eventbrite stock current value and its past values and can show if there is a momentum factor associated with investing in Eventbrite Class A.
Regressed Prices |
| Timeline |
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Eventbrite 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.