Coursera Net Receivables vs Net Invested Capital Analysis
COUR Stock | USD 7.90 0.79 11.11% |
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 Receivables and its Net Invested Capital 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 Receivables vs Net Invested Capital
Net Receivables vs Net Invested Capital Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Coursera Net Receivables account and Net Invested Capital. At this time, the significance of the direction appears to have almost identical trend.
The correlation between Coursera's Net Receivables and Net Invested Capital is 0.9. Overlapping area represents the amount of variation of Net Receivables that can explain the historical movement of Net Invested Capital 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 Receivables and Net Invested Capital 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 Receivables of Coursera are associated (or correlated) with its Net Invested Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Invested Capital has no effect on the direction of Net Receivables i.e., Coursera's Net Receivables and Net Invested Capital go up and down completely randomly.
Correlation Coefficient | 0.9 |
Relationship Direction | Positive |
Relationship Strength | Very Strong |
Net Receivables
Net Invested Capital
The total amount of capital invested in a company, including both equity and debt, minus any cash or cash equivalents.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 Income | 320K | 9.1M | 30.8M | 32.3M | Tax Provision | 2.1M | 4.7M | 5.6M | 3.2M |
Coursera fundamental ratios Correlations
Click cells to compare fundamentals
Coursera Account Relationship Matchups
High Positive Relationship
High Negative Relationship
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
0.67 | DAO | Youdao Inc Upward Rally | PairCorr |
0.6 | JZ | Jianzhi Education | PairCorr |
0.6 | QSG | QuantaSing Group Upward Rally | PairCorr |
0.48 | GHC | Graham Holdings | PairCorr |
0.47 | EEIQ | Elite Education Group | PairCorr |
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.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.