Kaltura Total Operating Expenses vs Selling And Marketing Expenses Analysis

KLTR Stock  USD 1.36  0.03  2.26%   
Kaltura financial indicator trend analysis is infinitely more than just investigating Kaltura recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Kaltura is a good investment. Please check the relationship between Kaltura Total Operating Expenses and its Selling And Marketing Expenses accounts. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Kaltura. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.
To learn how to invest in Kaltura Stock, please use our How to Invest in Kaltura guide.

Total Operating Expenses vs Selling And Marketing Expenses

Total Operating Expenses vs Selling And Marketing Expenses Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Kaltura Total Operating Expenses account and Selling And Marketing Expenses. At this time, the significance of the direction appears to have totally related.
The correlation between Kaltura's Total Operating Expenses and Selling And Marketing Expenses is 0.99. Overlapping area represents the amount of variation of Total Operating Expenses that can explain the historical movement of Selling And Marketing Expenses in the same time period over historical financial statements of Kaltura, assuming nothing else is changed. The correlation between historical values of Kaltura's Total Operating Expenses and Selling And Marketing Expenses is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Operating Expenses of Kaltura are associated (or correlated) with its Selling And Marketing Expenses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Selling And Marketing Expenses has no effect on the direction of Total Operating Expenses i.e., Kaltura's Total Operating Expenses and Selling And Marketing Expenses go up and down completely randomly.

Correlation Coefficient

0.99
Relationship DirectionPositive 
Relationship StrengthVery Strong

Total Operating Expenses

The total costs associated with the day-to-day operations of a business, excluding the cost of goods sold but including selling, general, and administrative expenses.

Selling And Marketing Expenses

Most indicators from Kaltura's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Kaltura current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Kaltura. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.
To learn how to invest in Kaltura Stock, please use our How to Invest in Kaltura guide.As of 09/20/2024, Tax Provision is likely to drop to about 6.4 M. In addition to that, Selling General Administrative is likely to drop to about 36.7 M
 2021 2022 2023 2024 (projected)
Depreciation And Amortization2.4M2.7M4.7M3.5M
Interest Income5K962K2.3M2.4M

Kaltura fundamental ratios Correlations

-0.090.940.960.940.780.970.740.91-0.67-0.880.840.770.860.930.190.270.950.880.840.97-0.410.72-0.10.60.13
-0.09-0.160.17-0.14-0.18-0.010.540.190.79-0.260.09-0.670.340.05-0.44-0.34-0.360.320.110.00.90.590.070.69-0.33
0.94-0.160.920.80.940.870.610.92-0.66-0.860.850.750.80.940.220.540.90.860.890.87-0.420.610.20.460.16
0.960.170.920.870.780.940.840.97-0.45-0.950.880.590.930.940.080.240.840.960.870.93-0.170.840.00.740.05
0.94-0.140.80.870.560.980.680.77-0.7-0.780.70.80.760.80.1-0.020.950.720.670.92-0.480.62-0.420.530.03
0.78-0.180.940.780.560.670.450.85-0.53-0.780.720.610.70.880.160.760.720.770.890.71-0.310.470.490.330.11
0.97-0.010.870.940.980.670.770.88-0.6-0.90.740.730.870.890.00.070.920.830.810.96-0.330.72-0.280.63-0.06
0.740.540.610.840.680.450.770.85-0.04-0.830.640.160.950.78-0.15-0.030.520.890.740.840.260.99-0.110.98-0.13
0.910.190.920.970.770.850.880.85-0.36-0.970.80.490.970.98-0.030.390.760.970.960.92-0.060.850.170.76-0.05
-0.670.79-0.66-0.45-0.7-0.53-0.6-0.04-0.360.3-0.45-0.97-0.24-0.48-0.48-0.31-0.86-0.27-0.35-0.570.950.010.210.15-0.36
-0.88-0.26-0.86-0.95-0.78-0.78-0.9-0.83-0.970.3-0.73-0.47-0.94-0.950.21-0.23-0.73-0.92-0.94-0.870.0-0.82-0.05-0.740.24
0.840.090.850.880.70.720.740.640.8-0.45-0.730.560.70.730.470.360.760.880.640.73-0.280.690.170.560.47
0.77-0.670.750.590.80.610.730.160.49-0.97-0.470.560.360.580.360.270.920.390.470.65-0.880.11-0.24-0.040.25
0.860.340.80.930.760.70.870.950.97-0.24-0.940.70.360.94-0.130.210.680.940.910.930.080.930.030.88-0.14
0.930.050.940.940.80.880.890.780.98-0.48-0.950.730.580.94-0.030.430.810.910.980.94-0.180.770.140.67-0.07
0.19-0.440.220.080.10.160.0-0.15-0.03-0.480.210.470.36-0.13-0.030.380.290.1-0.170.07-0.58-0.080.2-0.190.99
0.27-0.340.540.24-0.020.760.07-0.030.39-0.31-0.230.360.270.210.430.380.250.340.490.21-0.260.030.85-0.080.36
0.95-0.360.90.840.950.720.920.520.76-0.86-0.730.760.920.680.810.290.250.70.690.88-0.660.48-0.210.340.2
0.880.320.860.960.720.770.830.890.97-0.27-0.920.880.390.940.910.10.340.70.870.870.020.910.190.830.11
0.840.110.890.870.670.890.810.740.96-0.35-0.940.640.470.910.98-0.170.490.690.870.85-0.050.730.260.64-0.21
0.970.00.870.930.920.710.960.840.92-0.57-0.870.730.650.930.940.070.210.880.870.85-0.280.8-0.140.710.02
-0.410.9-0.42-0.17-0.48-0.31-0.330.26-0.060.950.0-0.28-0.880.08-0.18-0.58-0.26-0.660.02-0.05-0.280.30.220.43-0.47
0.720.590.610.840.620.470.720.990.850.01-0.820.690.110.930.77-0.080.030.480.910.730.80.30.00.98-0.05
-0.10.070.20.0-0.420.49-0.28-0.110.170.21-0.050.17-0.240.030.140.20.85-0.210.190.26-0.140.220.0-0.050.24
0.60.690.460.740.530.330.630.980.760.15-0.740.56-0.040.880.67-0.19-0.080.340.830.640.710.430.98-0.05-0.14
0.13-0.330.160.050.030.11-0.06-0.13-0.05-0.360.240.470.25-0.14-0.070.990.360.20.11-0.210.02-0.47-0.050.24-0.14
Click cells to compare fundamentals

Kaltura Account Relationship Matchups

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.
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.