Outbrain Stock Market Value
| OB Stock | USD 4.11 0.03 0.72% |
| Symbol | Outbrain |
Outbrain Price To Book Ratio
Is Outbrain's 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 Outbrain. If investors know Outbrain 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 Outbrain 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 0.508 | Earnings Share (0.31) | Revenue Per Share 18.385 | Quarterly Revenue Growth (0.04) | Return On Assets (0.01) |
The market value of Outbrain is measured differently than its book value, which is the value of Outbrain that is recorded on the company's balance sheet. Investors also form their own opinion of Outbrain's value that differs from its market value or its book value, called intrinsic value, which is Outbrain'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 Outbrain's market value can be influenced by many factors that don't directly affect Outbrain'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 Outbrain's value and its price as these two are different measures arrived at by different means. Investors typically determine if Outbrain is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Outbrain'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.
Outbrain '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 Outbrain'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 Outbrain.
| 02/24/2024 |
| 04/24/2024 |
If you would invest 0.00 in Outbrain on February 24, 2024 and sell it all today you would earn a total of 0.00 from holding Outbrain or generate 0.0% return on investment in Outbrain over 60 days. Outbrain is related to or competes with Twilio, and Tencent Holdings. Outbrain Inc., together with its subsidiaries, operates an online content recommendation platform worldwide More
Outbrain 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 Outbrain'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 Outbrain upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.37 | |||
| Information Ratio | 0.0035 | |||
| Maximum Drawdown | 15.37 | |||
| Value At Risk | (5.71) | |||
| Potential Upside | 6.16 |
Outbrain Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Outbrain's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Outbrain's standard deviation. In reality, there are many statistical measures that can use Outbrain historical prices to predict the future Outbrain's volatility.| Risk Adjusted Performance | 0.0288 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.34) | |||
| Sortino Ratio | 0.0033 | |||
| Treynor Ratio | 0.0482 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Outbrain'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.
Outbrain Backtested Returns
We consider Outbrain slightly risky. Outbrain maintains Sharpe Ratio (i.e., Efficiency) of 0.0404, which implies the firm had a 0.0404% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Outbrain, which you can use to evaluate the volatility of the company. Please check Outbrain's Semi Deviation of 3.14, risk adjusted performance of 0.0288, and Coefficient Of Variation of 3006.95 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Outbrain has a performance score of 3 on a scale of 0 to 100. The company holds a Beta of 2.0, which implies 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, Outbrain will likely underperform. Outbrain right now holds a risk of 3.15%. Please check Outbrain expected short fall, and the relationship between the value at risk and daily balance of power , to decide if Outbrain will be following its historical price patterns.
Auto-correlation | -0.46 |
Modest reverse predictability
Outbrain has modest reverse predictability. Overlapping area represents the amount of predictability between Outbrain time series from 24th of February 2024 to 25th of March 2024 and 25th of March 2024 to 24th of April 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 Outbrain price movement. The serial correlation of -0.46 indicates that about 46.0% of current Outbrain price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Outbrain lagged returns against current returns
Autocorrelation, which is Outbrain 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 Outbrain's stock expected returns. We can calculate the autocorrelation of Outbrain returns to help us make a trade decision. For example, suppose you find that Outbrain 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 |
Outbrain 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 Outbrain stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Outbrain stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Outbrain stock over time.
Current vs Lagged Prices |
| Timeline |
Outbrain Lagged Returns
When evaluating Outbrain's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Outbrain stock have on its future price. Outbrain 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, Outbrain autocorrelation shows the relationship between Outbrain stock current value and its past values and can show if there is a momentum factor associated with investing in Outbrain.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Outbrain in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Outbrain's short interest history, or implied volatility extrapolated from Outbrain options trading.
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Try AI Portfolio ArchitectCheck out Outbrain Correlation, Outbrain Volatility and Outbrain Alpha and Beta module to complement your research on Outbrain. For information on how to trade Outbrain Stock refer to our How to Trade Outbrain Stock guide.Note that the Outbrain information on this page should be used as a complementary analysis to other Outbrain's 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Complementary Tools for Outbrain Stock analysis
When running Outbrain's price analysis, check to measure Outbrain's 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 Outbrain is operating at the current time. Most of Outbrain's value examination focuses on studying past and present price action to predict the probability of Outbrain's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Outbrain's price. Additionally, you may evaluate how the addition of Outbrain to your portfolios can decrease your overall portfolio volatility.
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