Zillow Group Stock Market Value
| ZG Stock | USD 79.26 4.26 5.68% |
| Symbol | Zillow |
Zillow Group Price To Book Ratio
Is Real Estate Management & Development 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 Zillow. If investors know Zillow 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 Zillow 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 (0.25) | Earnings Share (0.58) | Revenue Per Share 9.29 | Quarterly Revenue Growth 0.171 | Return On Assets (0.02) |
The market value of Zillow Group is measured differently than its book value, which is the value of Zillow that is recorded on the company's balance sheet. Investors also form their own opinion of Zillow's value that differs from its market value or its book value, called intrinsic value, which is Zillow'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 Zillow's market value can be influenced by many factors that don't directly affect Zillow'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 Zillow's value and its price as these two are different measures arrived at by different means. Investors typically determine if Zillow is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Zillow'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.
Zillow '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 Zillow'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 Zillow.
| 11/28/2023 |
| 11/22/2024 |
If you would invest 0.00 in Zillow on November 28, 2023 and sell it all today you would earn a total of 0.00 from holding Zillow Group or generate 0.0% return on investment in Zillow over 360 days. Zillow is related to or competes with DoorDash,, Pinterest, Yelp, Spotify Technology, Twilio, Fiverr International, and Hello. Zillow Group, Inc., a digital real estate company, operates real estate brands on mobile applications and Websites in th... More
Zillow 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 Zillow'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 Zillow Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.19 | |||
| Information Ratio | 0.132 | |||
| Maximum Drawdown | 26.75 | |||
| Value At Risk | (2.75) | |||
| Potential Upside | 4.82 |
Zillow Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zillow's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zillow's standard deviation. In reality, there are many statistical measures that can use Zillow historical prices to predict the future Zillow's volatility.| Risk Adjusted Performance | 0.1263 | |||
| Jensen Alpha | 0.5765 | |||
| Total Risk Alpha | 0.157 | |||
| Sortino Ratio | 0.231 | |||
| Treynor Ratio | 3.27 |
Zillow Group Backtested Returns
Zillow appears to be very steady, given 3 months investment horizon. Zillow Group shows Sharpe Ratio of 0.16, which attests that the company had a 0.16% return per unit of risk over the last 3 months. By examining Zillow's technical indicators, you can evaluate if the expected return of 0.63% is justified by implied risk. Please utilize Zillow's Market Risk Adjusted Performance of 3.28, mean deviation of 2.22, and Downside Deviation of 2.19 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Zillow holds a performance score of 12. The firm maintains a market beta of 0.18, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Zillow's returns are expected to increase less than the market. However, during the bear market, the loss of holding Zillow is expected to be smaller as well. Please check Zillow's potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to make a quick decision on whether Zillow's historical returns will revert.
Auto-correlation | -0.51 |
Good reverse predictability
Zillow Group has good reverse predictability. Overlapping area represents the amount of predictability between Zillow time series from 28th of November 2023 to 26th of May 2024 and 26th of May 2024 to 22nd of November 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 Zillow Group price movement. The serial correlation of -0.51 indicates that about 51.0% of current Zillow price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 82.87 |
Zillow Group lagged returns against current returns
Autocorrelation, which is Zillow 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 Zillow's stock expected returns. We can calculate the autocorrelation of Zillow returns to help us make a trade decision. For example, suppose you find that Zillow 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 |
Zillow 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 Zillow stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Zillow stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Zillow stock over time.
Current vs Lagged Prices |
| Timeline |
Zillow Lagged Returns
When evaluating Zillow's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Zillow stock have on its future price. Zillow 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, Zillow autocorrelation shows the relationship between Zillow stock current value and its past values and can show if there is a momentum factor associated with investing in Zillow Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Zillow Correlation, Zillow Volatility and Zillow Alpha and Beta module to complement your research on Zillow. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Zillow 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.