Zw Data Action Stock Market Value
| CNET Stock | USD 1.51 0.02 1.34% |
| Symbol | CNET |
ZW Data Action Price To Book Ratio
Is Advertising 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 ZW Data. If investors know CNET 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 ZW Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (2.71) | Revenue Per Share | Quarterly Revenue Growth (0.65) | Return On Assets | Return On Equity |
The market value of ZW Data Action is measured differently than its book value, which is the value of CNET that is recorded on the company's balance sheet. Investors also form their own opinion of ZW Data's value that differs from its market value or its book value, called intrinsic value, which is ZW Data'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 ZW Data's market value can be influenced by many factors that don't directly affect ZW Data'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 ZW Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if ZW Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ZW Data'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.
ZW Data '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 ZW Data'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 ZW Data.
| 03/22/2023 |
| 03/11/2025 |
If you would invest 0.00 in ZW Data on March 22, 2023 and sell it all today you would earn a total of 0.00 from holding ZW Data Action or generate 0.0% return on investment in ZW Data over 720 days. ZW Data is related to or competes with Fluent, QuinStreet, Direct Digital, CyberAgent ADR, and Kidoz. ZW Data Action Technologies Inc., through its subsidiaries, provides omni-channel advertising, precision marketing, and ... More
ZW Data 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 ZW Data'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 ZW Data Action upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.08 | |||
| Information Ratio | 0.0141 | |||
| Maximum Drawdown | 27.82 | |||
| Value At Risk | (5.49) | |||
| Potential Upside | 7.65 |
ZW Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZW Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZW Data's standard deviation. In reality, there are many statistical measures that can use ZW Data historical prices to predict the future ZW Data's volatility.| Risk Adjusted Performance | 0.0086 | |||
| Jensen Alpha | 0.0716 | |||
| Total Risk Alpha | 0.4451 | |||
| Sortino Ratio | 0.0164 | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ZW Data'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.
ZW Data Action Backtested Returns
ZW Data Action retains Efficiency (Sharpe Ratio) of -0.0298, which attests that the company had a -0.0298 % return per unit of price deviation over the last 3 months. ZW Data exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out ZW Data's standard deviation of 4.76, and Market Risk Adjusted Performance of 0.002 to validate the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 1.06, which attests to a somewhat significant risk relative to the market. ZW Data returns are very sensitive to returns on the market. As the market goes up or down, ZW Data is expected to follow. At this point, ZW Data Action has a negative expected return of -0.15%. Please make sure to check out ZW Data's treynor ratio, and the relationship between the coefficient of variation and semi variance , to decide if ZW Data Action performance from the past will be repeated in the future.
Auto-correlation | 0.87 |
Very good predictability
ZW Data Action has very good predictability. Overlapping area represents the amount of predictability between ZW Data time series from 22nd of March 2023 to 16th of March 2024 and 16th of March 2024 to 11th 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 ZW Data Action price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current ZW Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.71 |
ZW Data Action lagged returns against current returns
Autocorrelation, which is ZW Data 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 ZW Data's stock expected returns. We can calculate the autocorrelation of ZW Data returns to help us make a trade decision. For example, suppose you find that ZW Data 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 |
ZW Data 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 ZW Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ZW Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ZW Data stock over time.
Current vs Lagged Prices |
| Timeline |
ZW Data Lagged Returns
When evaluating ZW Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ZW Data stock have on its future price. ZW Data 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, ZW Data autocorrelation shows the relationship between ZW Data stock current value and its past values and can show if there is a momentum factor associated with investing in ZW Data Action.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for CNET Stock Analysis
When running ZW Data's price analysis, check to measure ZW Data'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 ZW Data is operating at the current time. Most of ZW Data's value examination focuses on studying past and present price action to predict the probability of ZW Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZW Data's price. Additionally, you may evaluate how the addition of ZW Data to your portfolios can decrease your overall portfolio volatility.