Kaltura Return On Assets from 2010 to 2024
| KLTR Stock | USD 2.34 0.03 1.30% |
Return On Assets | First Reported 2010-12-31 | Previous Quarter (0.25) | Current Value (0.26) | Quarterly Volatility 0.11201391 |
Check Kaltura financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Kaltura's main balance sheet or income statement drivers, such as Tax Provision of 6.4 M, Interest Income of 2.4 M or Depreciation And Amortization of 3.5 M, as well as many indicators such as Price To Sales Ratio of 1.46, Dividend Yield of 0.0 or PTB Ratio of 9.34. Kaltura financial statements analysis is a perfect complement when working with Kaltura Valuation or Volatility modules.
Kaltura | Return On Assets |
Latest Kaltura's Return On Assets Growth Pattern
Below is the plot of the Return On Assets of Kaltura over the last few years. It is a profitability ratio that indicates the percentage of profit a company earns in relation to its overall resources. It is calculated by dividing net income by total assets. Kaltura's Return On Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Kaltura's overall financial position and show how it may be relating to other accounts over time.
| Return On Assets | 10 Years Trend |
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Return On Assets |
| Timeline |
Kaltura Return On Assets Regression Statistics
| Arithmetic Mean | (0.26) | |
| Coefficient Of Variation | (43.14) | |
| Mean Deviation | 0.06 | |
| Median | (0.21) | |
| Standard Deviation | 0.11 | |
| Sample Variance | 0.01 | |
| Range | 0.4322 | |
| R-Value | (0.38) | |
| Mean Square Error | 0.01 | |
| R-Squared | 0.14 | |
| Significance | 0.16 | |
| Slope | (0.01) | |
| Total Sum of Squares | 0.18 |
Kaltura Return On Assets History
About Kaltura Financial Statements
Kaltura shareholders use historical fundamental indicators, such as Return On Assets, to determine how well the company is positioned to perform in the future. Although Kaltura investors may analyze each financial statement separately, they are all interrelated. The changes in Kaltura's assets and liabilities, for example, are also reflected in the revenues and expenses on on Kaltura's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Return On Assets | (0.25) | (0.26) |
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
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.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.