Coursera Cash And Short Term Investments from 2010 to 2025
| COUR Stock | USD 8.31 0.01 0.12% |
Cash And Short Term Investments | First Reported 2010-12-31 | Previous Quarter 830.4 M | Current Value 612.1 M | Quarterly Volatility 278.3 M |
Check Coursera financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Coursera's main balance sheet or income statement drivers, such as Tax Provision of 3.2 M, Net Interest Income of 37.2 M or Interest Income of 37.2 M, as well as many indicators such as Price To Sales Ratio of 5.02, Dividend Yield of 0.0 or PTB Ratio of 4.48. Coursera financial statements analysis is a perfect complement when working with Coursera Valuation or Volatility modules.
Coursera | Cash And Short Term Investments |
Latest Coursera's Cash And Short Term Investments Growth Pattern
Below is the plot of the Cash And Short Term Investments of Coursera over the last few years. Short Term Investments is an account in the current assets section of Coursera balance sheet. This account contains Coursera investments that will expire within one year. These investments include stocks and bonds that can be liquidated by Coursera fairly quickly. It is the sum of a company's cash on hand, including bank deposits and short-term, highly liquid investments that are easily convertible to known amounts of cash. Coursera's Cash And Short Term Investments historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Coursera's overall financial position and show how it may be relating to other accounts over time.
| Cash And Short Term Investments | 10 Years Trend |
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Cash And Short Term Investments |
| Timeline |
Coursera Cash And Short Term Investments Regression Statistics
| Arithmetic Mean | 361,265,613 | |
| Geometric Mean | 281,955,605 | |
| Coefficient Of Variation | 77.04 | |
| Mean Deviation | 245,061,468 | |
| Median | 172,815,000 | |
| Standard Deviation | 278,314,954 | |
| Sample Variance | 77459.2T | |
| Range | 657.6M | |
| R-Value | 0.80 | |
| Mean Square Error | 30035.1T | |
| R-Squared | 0.64 | |
| Significance | 0.0002 | |
| Slope | 46,696,690 | |
| Total Sum of Squares | 1161888.2T |
Coursera Cash And Short Term Investments History
About Coursera Financial Statements
Coursera shareholders use historical fundamental indicators, such as Cash And Short Term Investments, to determine how well the company is positioned to perform in the future. Although Coursera investors may analyze each financial statement separately, they are all interrelated. The changes in Coursera's assets and liabilities, for example, are also reflected in the revenues and expenses on on Coursera'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 | ||
| Cash And Short Term Investments | 830.4 M | 612.1 M |
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
| 0.82 | VSTA | Vasta Platform | PairCorr |
| 0.66 | QSG | QuantaSing Group | PairCorr |
| 0.64 | JZ | Jianzhi Education | PairCorr |
| 0.61 | FEDU | Four Seasons Education | PairCorr |
| 0.61 | GOTU | Gaotu Techedu DRC | 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.