Elastic Nv Stock Market Value
ESTC Stock | USD 98.36 2.17 2.26% |
Symbol | Elastic |
Elastic NV Price To Book Ratio
Is Elastic NV's industry 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 Elastic NV. If investors know Elastic 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 Elastic NV listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.52 | Revenue Per Share 12.3 | Quarterly Revenue Growth 0.194 | Return On Assets (0.04) | Return On Equity 0.1027 |
The market value of Elastic NV is measured differently than its book value, which is the value of Elastic that is recorded on the company's balance sheet. Investors also form their own opinion of Elastic NV's value that differs from its market value or its book value, called intrinsic value, which is Elastic NV'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 Elastic NV's market value can be influenced by many factors that don't directly affect Elastic NV'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 Elastic NV's value and its price as these two are different measures arrived at by different means. Investors typically determine if Elastic NV is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Elastic NV'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.
Elastic NV '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 Elastic NV'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 Elastic NV.
05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in Elastic NV on May 4, 2022 and sell it all today you would earn a total of 0.00 from holding Elastic NV or generate 0.0% return on investment in Elastic NV over 720 days. Elastic NV is related to or competes with C3 Ai, Shopify, Snowflake, and ServiceNow. Elastic N.V., a search company, delivers technology solutions designed to run in public or private clouds in multi-cloud... More
Elastic NV 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 Elastic NV'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 Elastic NV upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.13) | |||
Maximum Drawdown | 17.73 | |||
Value At Risk | (3.75) | |||
Potential Upside | 4.68 |
Elastic NV Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Elastic NV's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Elastic NV's standard deviation. In reality, there are many statistical measures that can use Elastic NV historical prices to predict the future Elastic NV's volatility.Risk Adjusted Performance | (0.05) | |||
Jensen Alpha | (0.32) | |||
Total Risk Alpha | (0.63) | |||
Treynor Ratio | (0.55) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Elastic NV'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.
Elastic NV Backtested Returns
Elastic NV secures Sharpe Ratio (or Efficiency) of -0.0961, which denotes the company had a -0.0961% return per unit of standard deviation over the last 3 months. Elastic NV exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Elastic NV's Mean Deviation of 1.89, coefficient of variation of (1,035), and Standard Deviation of 2.76 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.5, which means possible diversification benefits within a given portfolio. As returns on the market increase, Elastic NV's returns are expected to increase less than the market. However, during the bear market, the loss of holding Elastic NV is expected to be smaller as well. Elastic NV has an expected return of -0.27%. Please make sure to confirm Elastic NV standard deviation, kurtosis, period momentum indicator, as well as the relationship between the maximum drawdown and day median price , to decide if Elastic NV performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.62 |
Very good reverse predictability
Elastic NV has very good reverse predictability. Overlapping area represents the amount of predictability between Elastic NV time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 to 23rd of April 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 Elastic NV price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Elastic NV price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.62 | |
Spearman Rank Test | -0.56 | |
Residual Average | 0.0 | |
Price Variance | 501.66 |
Elastic NV lagged returns against current returns
Autocorrelation, which is Elastic NV 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 Elastic NV's stock expected returns. We can calculate the autocorrelation of Elastic NV returns to help us make a trade decision. For example, suppose you find that Elastic NV 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 |
Elastic NV 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 Elastic NV stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Elastic NV stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Elastic NV stock over time.
Current vs Lagged Prices |
Timeline |
Elastic NV Lagged Returns
When evaluating Elastic NV's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Elastic NV stock have on its future price. Elastic NV 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, Elastic NV autocorrelation shows the relationship between Elastic NV stock current value and its past values and can show if there is a momentum factor associated with investing in Elastic NV.
Regressed Prices |
Timeline |
Pair Trading with Elastic NV
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Elastic NV position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Elastic NV will appreciate offsetting losses from the drop in the long position's value.Moving together with Elastic Stock
0.9 | U | Unity Software Financial Report 8th of May 2024 | PairCorr |
0.7 | DT | Dynatrace Holdings LLC Financial Report 15th of May 2024 | PairCorr |
Moving against Elastic Stock
0.87 | ML | MoneyLion Financial Report 14th of May 2024 | PairCorr |
0.68 | DJCO | Daily Journal Corp | PairCorr |
0.58 | BL | Blackline Financial Report 2nd of May 2024 | PairCorr |
0.45 | DOCU | DocuSign Financial Report 13th of June 2024 | PairCorr |
The ability to find closely correlated positions to Elastic NV could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Elastic NV when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Elastic NV - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Elastic NV to buy it.
The correlation of Elastic NV is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Elastic NV moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Elastic NV moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Elastic NV can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Elastic NV Correlation, Elastic NV Volatility and Elastic NV Alpha and Beta module to complement your research on Elastic NV. For information on how to trade Elastic Stock refer to our How to Trade Elastic Stock guide.You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Complementary Tools for Elastic Stock analysis
When running Elastic NV's price analysis, check to measure Elastic NV'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 Elastic NV is operating at the current time. Most of Elastic NV's value examination focuses on studying past and present price action to predict the probability of Elastic NV's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Elastic NV's price. Additionally, you may evaluate how the addition of Elastic NV to your portfolios can decrease your overall portfolio volatility.
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Elastic NV 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.