Zillow Group Stock Market Value
| ZG Stock | USD 67.26 1.54 2.24% |
| 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 (0.48) | Revenue Per Share | Quarterly Revenue Growth 0.169 | Return On Assets |
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.
| 12/28/2024 |
| 03/28/2025 |
If you would invest 0.00 in Zillow on December 28, 2024 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 90 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.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 15.69 | |||
| Value At Risk | (4.52) | |||
| Potential Upside | 3.24 |
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) | |||
| Jensen Alpha | 0.0104 | |||
| Total Risk Alpha | 0.04 | |||
| Treynor Ratio | (0.02) |
Zillow Group Backtested Returns
Zillow Group shows Sharpe Ratio of close to zero, which attests that the company had a close to zero % return per unit of risk over the last 3 months. Zillow Group exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Zillow's Market Risk Adjusted Performance of (0.01), standard deviation of 2.54, and Mean Deviation of 1.9 to validate the risk estimate we provide. The firm maintains a market beta of 1.9, which attests to 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, Zillow will likely underperform. At this point, Zillow Group has a negative expected return of -0.0249%. Please make sure to check out Zillow's total risk alpha, daily balance of power, as well as the relationship between the Daily Balance Of Power and relative strength index , to decide if Zillow Group performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.7 |
Very good reverse predictability
Zillow Group has very good reverse predictability. Overlapping area represents the amount of predictability between Zillow time series from 28th of December 2024 to 11th of February 2025 and 11th of February 2025 to 28th of March 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 Zillow Group price movement. The serial correlation of -0.7 indicates that around 70.0% of current Zillow price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.82 | |
| Residual Average | 0.0 | |
| Price Variance | 13.34 |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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.