Vivid Seats Stock Market Value
| SEAT Stock | USD 5.11 0.06 1.16% |
| Symbol | Vivid |
Vivid Seats Price To Book Ratio
Is Vivid Seats' 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 Vivid Seats. If investors know Vivid 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 Vivid Seats 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 (0.70) | Earnings Share 0.15 | Revenue Per Share 6.951 | Quarterly Revenue Growth 0.185 | Return On Assets 0.032 |
The market value of Vivid Seats is measured differently than its book value, which is the value of Vivid that is recorded on the company's balance sheet. Investors also form their own opinion of Vivid Seats' value that differs from its market value or its book value, called intrinsic value, which is Vivid Seats' 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 Vivid Seats' market value can be influenced by many factors that don't directly affect Vivid Seats' 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 Vivid Seats' value and its price as these two are different measures arrived at by different means. Investors typically determine if Vivid Seats is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Vivid Seats' 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.
Vivid Seats '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 Vivid Seats' 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 Vivid Seats.
| 11/23/2023 |
| 05/21/2024 |
If you would invest 0.00 in Vivid Seats on November 23, 2023 and sell it all today you would earn a total of 0.00 from holding Vivid Seats or generate 0.0% return on investment in Vivid Seats over 180 days. Vivid Seats is related to or competes with Zillow Group, Outbrain, TuanChe ADR, Weibo Corp, YY, Zhihu, and DouYu International. Vivid Seats Inc. operates as an online secondary marketplace for tickets in the United States and Canada More
Vivid Seats 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 Vivid Seats' 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 Vivid Seats upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 13.21 | |||
| Value At Risk | (5.41) | |||
| Potential Upside | 3.4 |
Vivid Seats Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vivid Seats' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vivid Seats' standard deviation. In reality, there are many statistical measures that can use Vivid Seats historical prices to predict the future Vivid Seats' volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.53) | |||
| Treynor Ratio | 0.3961 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vivid Seats' 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.
Vivid Seats Backtested Returns
Vivid Seats owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0777, which indicates the firm had a -0.0777% return per unit of risk over the last 3 months. Vivid Seats exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Vivid Seats' Coefficient Of Variation of (1,481), risk adjusted performance of (0.03), and Variance of 7.96 to confirm the risk estimate we provide. The entity has a beta of -0.51, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Vivid Seats are expected to decrease at a much lower rate. During the bear market, Vivid Seats is likely to outperform the market. Vivid Seats has an expected return of -0.22%. Please make sure to validate Vivid Seats potential upside, rate of daily change, as well as the relationship between the Rate Of Daily Change and relative strength index , to decide if Vivid Seats performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.49 |
Average predictability
Vivid Seats has average predictability. Overlapping area represents the amount of predictability between Vivid Seats time series from 23rd of November 2023 to 21st of February 2024 and 21st of February 2024 to 21st 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 Vivid Seats price movement. The serial correlation of 0.49 indicates that about 49.0% of current Vivid Seats price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Vivid Seats lagged returns against current returns
Autocorrelation, which is Vivid Seats 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 Vivid Seats' stock expected returns. We can calculate the autocorrelation of Vivid Seats returns to help us make a trade decision. For example, suppose you find that Vivid Seats 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 |
Vivid Seats 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 Vivid Seats stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vivid Seats stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vivid Seats stock over time.
Current vs Lagged Prices |
| Timeline |
Vivid Seats Lagged Returns
When evaluating Vivid Seats' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vivid Seats stock have on its future price. Vivid Seats 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, Vivid Seats autocorrelation shows the relationship between Vivid Seats stock current value and its past values and can show if there is a momentum factor associated with investing in Vivid Seats.
Regressed Prices |
| Timeline |
Pair Trading with Vivid Seats
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 Vivid Seats 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 Vivid Seats will appreciate offsetting losses from the drop in the long position's value.Moving against Vivid Stock
| 0.63 | EVER | EverQuote Class A | PairCorr |
| 0.63 | TME | Tencent Music Entert | PairCorr |
| 0.62 | FENG | Phoenix New Media | PairCorr |
| 0.57 | DOYU | DouYu International | PairCorr |
| 0.53 | GOOG | Alphabet Class C Aggressive Push | PairCorr |
The ability to find closely correlated positions to Vivid Seats could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vivid Seats 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 Vivid Seats - 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 Vivid Seats to buy it.
The correlation of Vivid Seats 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 Vivid Seats moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vivid Seats 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 Vivid Seats 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 Vivid Seats Correlation, Vivid Seats Volatility and Vivid Seats Alpha and Beta module to complement your research on Vivid Seats. For more information on how to buy Vivid Stock please use our How to Invest in Vivid Seats guide.Note that the Vivid Seats information on this page should be used as a complementary analysis to other Vivid Seats' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Complementary Tools for Vivid Stock analysis
When running Vivid Seats' price analysis, check to measure Vivid Seats' 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 Vivid Seats is operating at the current time. Most of Vivid Seats' value examination focuses on studying past and present price action to predict the probability of Vivid Seats' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vivid Seats' price. Additionally, you may evaluate how the addition of Vivid Seats to your portfolios can decrease your overall portfolio volatility.
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Vivid Seats 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.