Everquote Class A Stock Market Value
| EVER Stock | USD 19.19 0.03 0.16% |
| Symbol | EverQuote |
EverQuote 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 EverQuote. If investors know EverQuote 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 EverQuote listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.36 | Revenue Per Share 11.796 | Quarterly Revenue Growth 1.627 | Return On Assets 0.0604 | Return On Equity 0.1354 |
The market value of EverQuote Class A is measured differently than its book value, which is the value of EverQuote that is recorded on the company's balance sheet. Investors also form their own opinion of EverQuote's value that differs from its market value or its book value, called intrinsic value, which is EverQuote'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 EverQuote's market value can be influenced by many factors that don't directly affect EverQuote'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 EverQuote's value and its price as these two are different measures arrived at by different means. Investors typically determine if EverQuote is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, EverQuote'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.
EverQuote '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 EverQuote'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 EverQuote.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in EverQuote on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding EverQuote Class A or generate 0.0% return on investment in EverQuote over 30 days. EverQuote is related to or competes with Onfolio Holdings, Vivid Seats, Asset Entities, Comscore, Cheetah Mobile, PropertyGuru, and Arena Group. EverQuote, Inc. operates an online marketplace for insurance shopping in the United States More
EverQuote 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 EverQuote'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 EverQuote Class A upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 21.16 | |||
| Value At Risk | (4.96) | |||
| Potential Upside | 5.94 |
EverQuote Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for EverQuote's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as EverQuote's standard deviation. In reality, there are many statistical measures that can use EverQuote historical prices to predict the future EverQuote's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.86) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of EverQuote'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.
EverQuote Class A Backtested Returns
EverQuote Class A secures Sharpe Ratio (or Efficiency) of -0.0445, which denotes the company had a -0.0445% return per unit of risk over the last 3 months. EverQuote Class A exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm EverQuote's Mean Deviation of 2.81, variance of 15.44, and Standard Deviation of 3.93 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.39, which means 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, EverQuote will likely underperform. At this point, EverQuote Class A has a negative expected return of -0.17%. Please make sure to confirm EverQuote's treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if EverQuote Class A performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.84 |
Very good predictability
EverQuote Class A has very good predictability. Overlapping area represents the amount of predictability between EverQuote time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 EverQuote Class A price movement. The serial correlation of 0.84 indicates that around 84.0% of current EverQuote price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
EverQuote Class A lagged returns against current returns
Autocorrelation, which is EverQuote 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 EverQuote's stock expected returns. We can calculate the autocorrelation of EverQuote returns to help us make a trade decision. For example, suppose you find that EverQuote 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 |
EverQuote 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 EverQuote stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if EverQuote stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in EverQuote stock over time.
Current vs Lagged Prices |
| Timeline |
EverQuote Lagged Returns
When evaluating EverQuote's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of EverQuote stock have on its future price. EverQuote 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, EverQuote autocorrelation shows the relationship between EverQuote stock current value and its past values and can show if there is a momentum factor associated with investing in EverQuote Class A.
Regressed Prices |
| Timeline |
Pair Trading with EverQuote
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 EverQuote 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 EverQuote will appreciate offsetting losses from the drop in the long position's value.Moving together with EverQuote Stock
Moving against EverQuote Stock
| 0.78 | DJT | Trump Media Technology Symbol Change | PairCorr |
| 0.78 | DJTWW | Trump Media Technology Symbol Change | PairCorr |
| 0.48 | WB | Weibo Corp | PairCorr |
| 0.33 | Z | Zillow Group Class | PairCorr |
| 0.33 | BZ | Kanzhun Ltd ADR Buyout Trend | PairCorr |
The ability to find closely correlated positions to EverQuote could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EverQuote 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 EverQuote - 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 EverQuote Class A to buy it.
The correlation of EverQuote 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 EverQuote moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EverQuote Class A 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 EverQuote 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.Additional Tools for EverQuote Stock Analysis
When running EverQuote's price analysis, check to measure EverQuote'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 EverQuote is operating at the current time. Most of EverQuote's value examination focuses on studying past and present price action to predict the probability of EverQuote's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EverQuote's price. Additionally, you may evaluate how the addition of EverQuote to your portfolios can decrease your overall portfolio volatility.