Kaltura Stock Market Value

KLTR Stock  USD 2.29  0.01  0.43%   
Kaltura's market value is the price at which a share of Kaltura trades on a public exchange. It measures the collective expectations of Kaltura investors about its performance. Kaltura is selling at 2.29 as of the 31st of January 2025; that is 0.43 percent decrease since the beginning of the trading day. The stock's lowest day price was 2.26.
With this module, you can estimate the performance of a buy and hold strategy of Kaltura and determine expected loss or profit from investing in Kaltura over a given investment horizon. Check 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.
Symbol

Kaltura Price To Book Ratio

Is Application 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 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
(0.26)
Revenue Per Share
1.218
Quarterly Revenue Growth
0.017
Return On Assets
(0.10)
Return On Equity
(1.31)
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.
0.00
01/01/2025
No Change 0.00  0.0 
In 31 days
01/31/2025
0.00
If you would invest  0.00  in Kaltura on January 1, 2025 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 30 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
0.112.248.20
Details
Intrinsic
Valuation
LowRealHigh
0.122.478.43
Details
Naive
Forecast
LowNextHigh
0.052.368.32
Details
6 Analysts
Consensus
LowTargetHigh
2.552.803.11
Details

Kaltura Backtested Returns

Kaltura is dangerous given 3 months investment horizon. Kaltura has Sharpe Ratio of 0.18, which conveys that the firm had a 0.18 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.08% are justified by taking the suggested risk. Use Kaltura Risk Adjusted Performance of 0.1542, downside deviation of 4.32, and Mean Deviation of 3.86 to evaluate company specific risk that cannot be diversified away. Kaltura holds a performance score of 14 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 1.1, which conveys a somewhat significant risk relative to the market. Kaltura returns are very sensitive to returns on the market. As the market goes up or down, Kaltura is expected to follow. Use Kaltura maximum drawdown, as well as the relationship between the skewness and day typical price , to analyze future returns on Kaltura.

Auto-correlation

    
  0.10  

Insignificant predictability

Kaltura has insignificant predictability. Overlapping area represents the amount of predictability between Kaltura time series from 1st of January 2025 to 16th of January 2025 and 16th of January 2025 to 31st of January 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 Kaltura price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Kaltura price fluctuation can be explain by its past prices.
Correlation Coefficient0.1
Spearman Rank Test0.37
Residual Average0.0
Price Variance0.0

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  

Pair Trading with Kaltura

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 Kaltura 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 Kaltura will appreciate offsetting losses from the drop in the long position's value.

Moving together with Kaltura Stock

  0.71AI C3 Ai IncPairCorr
  0.66BL BlacklinePairCorr

Moving against Kaltura Stock

  0.74VERB VERB TECHNOLOGY PANY Tech BoostPairCorr
The ability to find closely correlated positions to Kaltura could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kaltura 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 Kaltura - 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 Kaltura to buy it.
The correlation of Kaltura 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 Kaltura moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kaltura 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 Kaltura 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.
Pair CorrelationCorrelation Matching

Additional 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.