Kaltura Stock Market Value
| KLTR Stock | USD 1.19 0.04 3.25% |
| Symbol | Kaltura |
Kaltura Price To Book Ratio
Is Kaltura'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 Kaltura. If investors know Kaltura 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 Kaltura listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.33) | Revenue Per Share 1.257 | Quarterly Revenue Growth 0.035 | Return On Assets (0.12) | Return On Equity (1.42) |
The market value of Kaltura is measured differently than its book value, which is the value of Kaltura that is recorded on the company's balance sheet. Investors also form their own opinion of Kaltura's value that differs from its market value or its book value, called intrinsic value, which is Kaltura'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 Kaltura's market value can be influenced by many factors that don't directly affect Kaltura'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 Kaltura's value and its price as these two are different measures arrived at by different means. Investors typically determine if Kaltura is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kaltura'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.
Kaltura '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 Kaltura'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 Kaltura.
| 05/22/2023 |
| 05/16/2024 |
If you would invest 0.00 in Kaltura on May 22, 2023 and sell it all today you would earn a total of 0.00 from holding Kaltura or generate 0.0% return on investment in Kaltura over 360 days. Kaltura is related to or competes with Evertec, Consensus Cloud, Global Blue, Lesaka Technologies, Priority Technology, CSG Systems, and OneSpan. Kaltura, Inc. provides various Software-as-a-Service products and solutions and a Platform-as-a-Service More
Kaltura 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 Kaltura'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 Kaltura upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 16.38 | |||
| Value At Risk | (5.67) | |||
| Potential Upside | 4.17 |
Kaltura Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kaltura's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kaltura's standard deviation. In reality, there are many statistical measures that can use Kaltura historical prices to predict the future Kaltura's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.38) | |||
| Total Risk Alpha | (0.76) | |||
| Treynor Ratio | (0.62) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kaltura'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.
Kaltura Backtested Returns
Kaltura has Sharpe Ratio of -0.15, which conveys that the firm had a -0.15% return per unit of risk over the last 3 months. Kaltura exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Kaltura's Standard Deviation of 3.29, risk adjusted performance of (0.05), and Mean Deviation of 2.38 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.54, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Kaltura's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kaltura is expected to be smaller as well. Kaltura has an expected return of -0.42%. Please make sure to verify Kaltura variance, skewness, as well as the relationship between the Skewness and price action indicator , to decide if Kaltura performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.67 |
Good predictability
Kaltura has good predictability. Overlapping area represents the amount of predictability between Kaltura time series from 22nd of May 2023 to 18th of November 2023 and 18th of November 2023 to 16th of May 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 Kaltura price movement. The serial correlation of 0.67 indicates that around 67.0% of current Kaltura price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Kaltura lagged returns against current returns
Autocorrelation, which is Kaltura 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 Kaltura's stock expected returns. We can calculate the autocorrelation of Kaltura returns to help us make a trade decision. For example, suppose you find that Kaltura 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 |
Kaltura 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 Kaltura stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kaltura stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kaltura stock over time.
Current vs Lagged Prices |
| Timeline |
Kaltura Lagged Returns
When evaluating Kaltura's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kaltura stock have on its future price. Kaltura 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, Kaltura autocorrelation shows the relationship between Kaltura stock current value and its past values and can show if there is a momentum factor associated with investing in Kaltura.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Kaltura Correlation, Kaltura Volatility and Kaltura Alpha and Beta module to complement your research on Kaltura. To learn how to invest in Kaltura Stock, please use our How to Invest in Kaltura guide.You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Complementary Tools for Kaltura Stock analysis
When running Kaltura's price analysis, check to measure Kaltura'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 Kaltura is operating at the current time. Most of Kaltura's value examination focuses on studying past and present price action to predict the probability of Kaltura's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kaltura's price. Additionally, you may evaluate how the addition of Kaltura to your portfolios can decrease your overall portfolio volatility.
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Kaltura 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.