Appfolio Stock Market Value
| APPF Stock | USD 217.32 2.45 1.14% |
| Symbol | Appfolio |
Appfolio Price To Book Ratio
Is Application Software 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 Appfolio. If investors know Appfolio 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 Appfolio 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 2.373 | Earnings Share 5.54 | Revenue Per Share | Quarterly Revenue Growth 0.185 | Return On Assets |
The market value of Appfolio is measured differently than its book value, which is the value of Appfolio that is recorded on the company's balance sheet. Investors also form their own opinion of Appfolio's value that differs from its market value or its book value, called intrinsic value, which is Appfolio'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 Appfolio's market value can be influenced by many factors that don't directly affect Appfolio'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 Appfolio's value and its price as these two are different measures arrived at by different means. Investors typically determine if Appfolio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Appfolio'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.
Appfolio '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 Appfolio'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 Appfolio.
| 01/17/2025 |
| 02/16/2025 |
If you would invest 0.00 in Appfolio on January 17, 2025 and sell it all today you would earn a total of 0.00 from holding Appfolio or generate 0.0% return on investment in Appfolio over 30 days. Appfolio is related to or competes with Paycor HCM, Agilysys, Q2 Holdings, Blackline, PROS Holdings, Global Business, and Alkami Technology. AppFolio, Inc., together with its subsidiaries, provides cloud business management solutions for the real estate industr... More
Appfolio 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 Appfolio'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 Appfolio upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 11.33 | |||
| Value At Risk | (3.87) | |||
| Potential Upside | 2.48 |
Appfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Appfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Appfolio's standard deviation. In reality, there are many statistical measures that can use Appfolio historical prices to predict the future Appfolio's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.06) |
Appfolio Backtested Returns
Appfolio secures Sharpe Ratio (or Efficiency) of -0.0323, which signifies that the company had a -0.0323 % return per unit of risk over the last 3 months. Appfolio exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Appfolio's Standard Deviation of 2.02, risk adjusted performance of (0.01), and Mean Deviation of 1.51 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.15, which signifies a somewhat significant risk relative to the market. Appfolio returns are very sensitive to returns on the market. As the market goes up or down, Appfolio is expected to follow. At this point, Appfolio has a negative expected return of -0.0668%. Please make sure to confirm Appfolio's accumulation distribution, and the relationship between the value at risk and day typical price , to decide if Appfolio performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.43 |
Average predictability
Appfolio has average predictability. Overlapping area represents the amount of predictability between Appfolio time series from 17th of January 2025 to 1st of February 2025 and 1st of February 2025 to 16th 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 Appfolio price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Appfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 56.8 |
Appfolio lagged returns against current returns
Autocorrelation, which is Appfolio 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 Appfolio's stock expected returns. We can calculate the autocorrelation of Appfolio returns to help us make a trade decision. For example, suppose you find that Appfolio 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 |
Appfolio 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 Appfolio stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Appfolio stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Appfolio stock over time.
Current vs Lagged Prices |
| Timeline |
Appfolio Lagged Returns
When evaluating Appfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Appfolio stock have on its future price. Appfolio 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, Appfolio autocorrelation shows the relationship between Appfolio stock current value and its past values and can show if there is a momentum factor associated with investing in Appfolio.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Appfolio is a strong investment it is important to analyze Appfolio's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Appfolio's future performance. For an informed investment choice regarding Appfolio Stock, refer to the following important reports:Check out Appfolio Correlation, Appfolio Volatility and Appfolio Alpha and Beta module to complement your research on Appfolio. For more detail on how to invest in Appfolio Stock please use our How to Invest in Appfolio guide.You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Appfolio 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.