Coursera Net Tangible Assets vs Common Stock Analysis

COUR Stock  USD 7.77  0.13  1.65%   
Coursera financial indicator trend analysis is way more than just evaluating Coursera prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Coursera is a good investment. Please check the relationship between Coursera Net Tangible Assets and its Common Stock accounts. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Coursera. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
To learn how to invest in Coursera Stock, please use our How to Invest in Coursera guide.

Net Tangible Assets vs Common Stock

Net Tangible Assets vs Common Stock Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Coursera Net Tangible Assets account and Common Stock. At this time, the significance of the direction appears to have strong relationship.
The correlation between Coursera's Net Tangible Assets and Common Stock is 0.62. Overlapping area represents the amount of variation of Net Tangible Assets that can explain the historical movement of Common Stock in the same time period over historical financial statements of Coursera, assuming nothing else is changed. The correlation between historical values of Coursera's Net Tangible Assets and Common Stock is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Tangible Assets of Coursera are associated (or correlated) with its Common Stock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Common Stock has no effect on the direction of Net Tangible Assets i.e., Coursera's Net Tangible Assets and Common Stock go up and down completely randomly.

Correlation Coefficient

0.62
Relationship DirectionPositive 
Relationship StrengthSignificant

Net Tangible Assets

The total assets of a company minus any intangible assets such as patents, copyrights, and goodwill; it represents the physical assets of a company.

Common Stock

Most indicators from Coursera's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Coursera 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Coursera. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
To learn how to invest in Coursera Stock, please use our How to Invest in Coursera guide.As of 11/26/2024, Tax Provision is likely to drop to about 3.2 M. In addition to that, Selling General Administrative is likely to drop to about 76.8 M
 2021 2022 2023 2024 (projected)
Net Interest Income320K9.1M30.8M32.3M
Tax Provision2.1M4.7M5.6M3.2M

Coursera fundamental ratios Correlations

0.80.960.99-0.950.970.890.96-0.91-0.890.570.940.940.870.291.00.890.30.49-0.920.320.951.0-0.810.940.99
0.80.640.8-0.660.70.680.65-0.52-0.530.00.610.620.50.790.820.56-0.040.87-0.670.790.80.78-0.620.680.8
0.960.640.95-0.950.930.881.0-0.9-0.940.730.920.980.960.130.940.980.50.36-0.930.140.950.97-0.790.990.95
0.990.80.95-0.970.930.940.95-0.87-0.860.560.910.960.830.330.980.90.250.52-0.960.380.960.98-0.880.931.0
-0.95-0.66-0.95-0.97-0.9-0.98-0.960.880.89-0.69-0.88-0.98-0.83-0.18-0.93-0.93-0.33-0.390.99-0.24-0.93-0.940.93-0.91-0.97
0.970.70.930.93-0.90.80.92-0.97-0.950.670.940.890.860.120.970.850.390.32-0.850.130.890.96-0.710.890.93
0.890.680.880.94-0.980.80.89-0.77-0.780.590.780.940.720.280.870.870.210.47-0.990.360.90.87-0.980.840.94
0.960.651.00.95-0.960.920.89-0.89-0.940.720.910.990.950.150.940.980.50.39-0.940.170.950.97-0.810.990.95
-0.91-0.52-0.9-0.870.88-0.97-0.77-0.890.92-0.77-0.96-0.87-0.850.11-0.91-0.82-0.35-0.10.820.06-0.79-0.910.68-0.84-0.87
-0.89-0.53-0.94-0.860.89-0.95-0.78-0.940.92-0.83-0.85-0.91-0.920.03-0.88-0.92-0.64-0.220.850.05-0.89-0.90.71-0.9-0.86
0.570.00.730.56-0.690.670.590.72-0.77-0.830.650.740.77-0.530.540.760.69-0.29-0.66-0.520.560.59-0.550.650.56
0.940.610.920.91-0.880.940.780.91-0.96-0.850.650.890.870.020.930.830.240.21-0.820.080.80.94-0.670.880.91
0.940.620.980.96-0.980.890.940.99-0.87-0.910.740.890.920.130.910.980.450.36-0.970.170.940.95-0.870.960.96
0.870.50.960.83-0.830.860.720.95-0.85-0.920.770.870.920.00.840.960.660.23-0.8-0.030.860.9-0.610.970.83
0.290.790.130.33-0.180.120.280.150.110.03-0.530.020.130.00.310.1-0.270.97-0.230.980.40.28-0.290.220.33
1.00.820.940.98-0.930.970.870.94-0.91-0.880.540.930.910.840.310.860.260.5-0.90.350.940.99-0.790.920.98
0.890.560.980.9-0.930.850.870.98-0.82-0.920.760.830.980.960.10.860.60.35-0.920.10.930.91-0.790.980.9
0.3-0.040.50.25-0.330.390.210.5-0.35-0.640.690.240.450.66-0.270.260.6-0.06-0.33-0.420.450.35-0.160.520.25
0.490.870.360.52-0.390.320.470.39-0.1-0.22-0.290.210.360.230.970.50.35-0.06-0.440.930.620.48-0.460.440.52
-0.92-0.67-0.93-0.960.99-0.85-0.99-0.940.820.85-0.66-0.82-0.97-0.8-0.23-0.9-0.92-0.33-0.44-0.29-0.94-0.910.96-0.89-0.96
0.320.790.140.38-0.240.130.360.170.060.05-0.520.080.17-0.030.980.350.1-0.420.93-0.290.390.3-0.380.210.38
0.950.80.950.96-0.930.890.90.95-0.79-0.890.560.80.940.860.40.940.930.450.62-0.940.390.95-0.840.950.96
1.00.780.970.98-0.940.960.870.97-0.91-0.90.590.940.950.90.280.990.910.350.48-0.910.30.95-0.780.960.98
-0.81-0.62-0.79-0.880.93-0.71-0.98-0.810.680.71-0.55-0.67-0.87-0.61-0.29-0.79-0.79-0.16-0.460.96-0.38-0.84-0.78-0.74-0.88
0.940.680.990.93-0.910.890.840.99-0.84-0.90.650.880.960.970.220.920.980.520.44-0.890.210.950.96-0.740.93
0.990.80.951.0-0.970.930.940.95-0.87-0.860.560.910.960.830.330.980.90.250.52-0.960.380.960.98-0.880.93
Click cells to compare fundamentals

Coursera Account Relationship Matchups

Pair Trading with Coursera

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

Moving against Coursera Stock

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  0.6JZ Jianzhi EducationPairCorr
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  0.48GHC Graham HoldingsPairCorr
  0.47EEIQ Elite Education GroupPairCorr
The ability to find closely correlated positions to Coursera could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Coursera 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 Coursera - 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 Coursera to buy it.
The correlation of Coursera 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 Coursera moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Coursera 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 Coursera 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 Coursera Stock Analysis

When running Coursera's price analysis, check to measure Coursera'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 Coursera is operating at the current time. Most of Coursera's value examination focuses on studying past and present price action to predict the probability of Coursera's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Coursera's price. Additionally, you may evaluate how the addition of Coursera to your portfolios can decrease your overall portfolio volatility.