Jfrog Etf Market Value
FROG Etf | USD 33.58 1.11 3.42% |
Symbol | Jfrog |
The market value of Jfrog is measured differently than its book value, which is the value of Jfrog that is recorded on the company's balance sheet. Investors also form their own opinion of Jfrog's value that differs from its market value or its book value, called intrinsic value, which is Jfrog'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 Jfrog's market value can be influenced by many factors that don't directly affect Jfrog'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 Jfrog's value and its price as these two are different measures arrived at by different means. Investors typically determine if Jfrog is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Jfrog'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.
Jfrog '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 Jfrog's etf 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 Jfrog.
12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Jfrog on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Jfrog or generate 0.0% return on investment in Jfrog over 90 days. Jfrog is related to or competes with Fastly, Bill, Asana, Jamf Holding, Pegasystems, Procore Technologies, and Gitlab. The companys products include JFrog Artifactory, a package repository that allows teams and organizations to store, upda... More
Jfrog 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 Jfrog's etf 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 Jfrog upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.04 | |||
Information Ratio | 0.1016 | |||
Maximum Drawdown | 11.31 | |||
Value At Risk | (3.06) | |||
Potential Upside | 4.07 |
Jfrog Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jfrog's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jfrog's standard deviation. In reality, there are many statistical measures that can use Jfrog historical prices to predict the future Jfrog's volatility.Risk Adjusted Performance | 0.0575 | |||
Jensen Alpha | 0.2119 | |||
Total Risk Alpha | 0.4163 | |||
Sortino Ratio | 0.1153 | |||
Treynor Ratio | 0.161 |
Jfrog Backtested Returns
At this point, Jfrog is very steady. Jfrog holds Efficiency (Sharpe) Ratio of 0.0625, which attests that the entity had a 0.0625 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Jfrog, which you can use to evaluate the volatility of the entity. Please check out Jfrog's Risk Adjusted Performance of 0.0575, downside deviation of 2.04, and Market Risk Adjusted Performance of 0.171 to validate if the risk estimate we provide is consistent with the expected return of 0.15%. The etf retains a Market Volatility (i.e., Beta) of 0.78, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Jfrog's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jfrog is expected to be smaller as well.
Auto-correlation | -0.39 |
Poor reverse predictability
Jfrog has poor reverse predictability. Overlapping area represents the amount of predictability between Jfrog time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 Jfrog price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Jfrog price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.39 | |
Spearman Rank Test | 0.13 | |
Residual Average | 0.0 | |
Price Variance | 3.5 |
Jfrog lagged returns against current returns
Autocorrelation, which is Jfrog etf'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 Jfrog's etf expected returns. We can calculate the autocorrelation of Jfrog returns to help us make a trade decision. For example, suppose you find that Jfrog has exhibited high autocorrelation historically, and you observe that the etf 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 |
Jfrog 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 Jfrog etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jfrog etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jfrog etf over time.
Current vs Lagged Prices |
Timeline |
Jfrog Lagged Returns
When evaluating Jfrog's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jfrog etf have on its future price. Jfrog 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, Jfrog autocorrelation shows the relationship between Jfrog etf current value and its past values and can show if there is a momentum factor associated with investing in Jfrog.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Jfrog Etf
Jfrog financial ratios help investors to determine whether Jfrog Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Jfrog with respect to the benefits of owning Jfrog security.