Zscaler Stock Market Value
| ZS Stock | USD 206.59 1.63 0.80% |
| Symbol | Zscaler |
Zscaler Price To Book Ratio
Is Systems 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 Zscaler. If investors know Zscaler 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 Zscaler listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.39) | Revenue Per Share 14.492 | Quarterly Revenue Growth 0.303 | Return On Assets (0.02) | Return On Equity (0.06) |
The market value of Zscaler is measured differently than its book value, which is the value of Zscaler that is recorded on the company's balance sheet. Investors also form their own opinion of Zscaler's value that differs from its market value or its book value, called intrinsic value, which is Zscaler'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 Zscaler's market value can be influenced by many factors that don't directly affect Zscaler'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 Zscaler's value and its price as these two are different measures arrived at by different means. Investors typically determine if Zscaler is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Zscaler'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.
Zscaler '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 Zscaler'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 Zscaler.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Zscaler on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Zscaler or generate 0.0% return on investment in Zscaler over 180 days. Zscaler is related to or competes with Palo Alto, Uipath, Block, Adobe Systems, Crowdstrike Holdings, Palantir Technologies, and Oracle. Zscaler, Inc. operates as a cloud security company worldwide More
Zscaler 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 Zscaler'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 Zscaler upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.95 | |||
| Information Ratio | 0.0029 | |||
| Maximum Drawdown | 20.36 | |||
| Value At Risk | (3.37) | |||
| Potential Upside | 3.73 |
Zscaler Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zscaler's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zscaler's standard deviation. In reality, there are many statistical measures that can use Zscaler historical prices to predict the future Zscaler's volatility.| Risk Adjusted Performance | 0.0437 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.38) | |||
| Sortino Ratio | 0.0023 | |||
| Treynor Ratio | 0.1047 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Zscaler'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.
Zscaler Backtested Returns
Currently, Zscaler is very steady. Zscaler shows Sharpe Ratio of 0.0506, which attests that the company had a 0.0506% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Zscaler, which you can use to evaluate the volatility of the company. Please check out Zscaler's Mean Deviation of 1.92, market risk adjusted performance of 0.1147, and Downside Deviation of 3.95 to validate if the risk estimate we provide is consistent with the expected return of 0.16%. Zscaler has a performance score of 3 on a scale of 0 to 100. The firm maintains a market beta of 1.31, 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, Zscaler will likely underperform. Zscaler right now maintains a risk of 3.14%. Please check out Zscaler standard deviation, value at risk, kurtosis, as well as the relationship between the sortino ratio and semi variance , to decide if Zscaler will be following its historical returns.
Auto-correlation | 0.29 |
Poor predictability
Zscaler has poor predictability. Overlapping area represents the amount of predictability between Zscaler time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 Zscaler price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Zscaler price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 243.88 |
Zscaler lagged returns against current returns
Autocorrelation, which is Zscaler 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 Zscaler's stock expected returns. We can calculate the autocorrelation of Zscaler returns to help us make a trade decision. For example, suppose you find that Zscaler 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 |
Zscaler 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 Zscaler stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Zscaler stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Zscaler stock over time.
Current vs Lagged Prices |
| Timeline |
Zscaler Lagged Returns
When evaluating Zscaler's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Zscaler stock have on its future price. Zscaler 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, Zscaler autocorrelation shows the relationship between Zscaler stock current value and its past values and can show if there is a momentum factor associated with investing in Zscaler.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Zscaler Stock Analysis
When running Zscaler's price analysis, check to measure Zscaler'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 Zscaler is operating at the current time. Most of Zscaler's value examination focuses on studying past and present price action to predict the probability of Zscaler's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zscaler's price. Additionally, you may evaluate how the addition of Zscaler to your portfolios can decrease your overall portfolio volatility.