Quinstreet Stock Market Value
| QNST Stock | USD 17.25 0.19 1.11% |
| Symbol | QuinStreet |
QuinStreet Price To Book Ratio
Is QuinStreet'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 QuinStreet. If investors know QuinStreet 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 QuinStreet 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 1.426 | Earnings Share (1.46) | Revenue Per Share 10.114 | Quarterly Revenue Growth 0.293 | Return On Assets (0.05) |
The market value of QuinStreet is measured differently than its book value, which is the value of QuinStreet that is recorded on the company's balance sheet. Investors also form their own opinion of QuinStreet's value that differs from its market value or its book value, called intrinsic value, which is QuinStreet'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 QuinStreet's market value can be influenced by many factors that don't directly affect QuinStreet'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 QuinStreet's value and its price as these two are different measures arrived at by different means. Investors typically determine if QuinStreet is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, QuinStreet'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.
QuinStreet '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 QuinStreet'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 QuinStreet.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in QuinStreet on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding QuinStreet or generate 0.0% return on investment in QuinStreet over 30 days. QuinStreet is related to or competes with IQIYI, Sea, Scienjoy Holding, Grupo Televisa, Dolphin Entertainment, Direct Digital, and VS Media. QuinStreet, Inc., an online performance marketing company, provides customer acquisition services for its clients in the... More
QuinStreet 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 QuinStreet'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 QuinStreet upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.42 | |||
| Information Ratio | 0.1623 | |||
| Maximum Drawdown | 16.78 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 6.18 |
QuinStreet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QuinStreet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QuinStreet's standard deviation. In reality, there are many statistical measures that can use QuinStreet historical prices to predict the future QuinStreet's volatility.| Risk Adjusted Performance | 0.1268 | |||
| Jensen Alpha | 0.4754 | |||
| Total Risk Alpha | 0.176 | |||
| Sortino Ratio | 0.3291 | |||
| Treynor Ratio | 0.6044 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of QuinStreet'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.
QuinStreet Backtested Returns
QuinStreet appears to be not too volatile, given 3 months investment horizon. QuinStreet maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the firm had a 0.2% return per unit of risk over the last 3 months. By analyzing QuinStreet's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please evaluate QuinStreet's Semi Deviation of 1.11, coefficient of variation of 517.58, and Risk Adjusted Performance of 0.1268 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, QuinStreet holds a performance score of 15. The company holds a Beta of 0.91, which implies possible diversification benefits within a given portfolio. QuinStreet returns are very sensitive to returns on the market. As the market goes up or down, QuinStreet is expected to follow. Please check QuinStreet's maximum drawdown, as well as the relationship between the skewness and day typical price , to make a quick decision on whether QuinStreet's historical price patterns will revert.
Auto-correlation | 0.38 |
Below average predictability
QuinStreet has below average predictability. Overlapping area represents the amount of predictability between QuinStreet time series from 25th of March 2024 to 9th of April 2024 and 9th of April 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 QuinStreet price movement. The serial correlation of 0.38 indicates that just about 38.0% of current QuinStreet price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
QuinStreet lagged returns against current returns
Autocorrelation, which is QuinStreet 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 QuinStreet's stock expected returns. We can calculate the autocorrelation of QuinStreet returns to help us make a trade decision. For example, suppose you find that QuinStreet 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 |
QuinStreet 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 QuinStreet stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QuinStreet stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QuinStreet stock over time.
Current vs Lagged Prices |
| Timeline |
QuinStreet Lagged Returns
When evaluating QuinStreet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QuinStreet stock have on its future price. QuinStreet 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, QuinStreet autocorrelation shows the relationship between QuinStreet stock current value and its past values and can show if there is a momentum factor associated with investing in QuinStreet.
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 QuinStreet 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, QuinStreet's short interest history, or implied volatility extrapolated from QuinStreet options trading.
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Align your risk with return expectations
Check out QuinStreet Correlation, QuinStreet Volatility and QuinStreet Alpha and Beta module to complement your research on QuinStreet. For more information on how to buy QuinStreet Stock please use our How to Invest in QuinStreet guide.You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Complementary Tools for QuinStreet Stock analysis
When running QuinStreet's price analysis, check to measure QuinStreet'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 QuinStreet is operating at the current time. Most of QuinStreet's value examination focuses on studying past and present price action to predict the probability of QuinStreet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QuinStreet's price. Additionally, you may evaluate how the addition of QuinStreet to your portfolios can decrease your overall portfolio volatility.
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QuinStreet 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.