Carmen Chang - Coursera Independent Director
| COUR Stock | USD 7.11 0.13 1.86% |
Director
Carmen Chang is Independent Director of Coursera since 2021.
| Age | 73 |
| Tenure | 3 years |
| Address | 381 East Evelyn Avenue, Mountain View, CA, United States, 94041 |
| Phone | 650 963 9884 |
| Web | https://www.coursera.org |
Coursera Management Efficiency
The company has return on total asset (ROA) of (0.0713) % which means that it has lost $0.0713 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (0.1297) %, meaning that it created substantial loss on money invested by shareholders. Coursera's management efficiency ratios could be used to measure how well Coursera manages its routine affairs as well as how well it operates its assets and liabilities. As of 11/22/2024, Return On Tangible Assets is likely to drop to -0.13. In addition to that, Return On Capital Employed is likely to drop to -0.25. At this time, Coursera's Net Tangible Assets are relatively stable compared to the past year. As of 11/22/2024, Intangibles To Total Assets is likely to grow to 0.02, while Non Current Assets Total are likely to drop slightly above 70.1 M.Similar Executives
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Management Performance
| Return On Equity | -0.13 | ||||
| Return On Asset | -0.0713 |
Coursera Leadership Team
Elected by the shareholders, the Coursera's board of directors comprises two types of representatives: Coursera inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Coursera. The board's role is to monitor Coursera's management team and ensure that shareholders' interests are well served. Coursera's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Coursera's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Theodore Mitchell, Independent Director | ||
| Kenneth Hahn, Chief Financial Officer, Senior Vice President, Treasurer | ||
| Shravan Goli, Senior Vice President Chief Product Officer and Head of Consumer Revenue | ||
| Mustafa Furniturewala, Head Engineering | ||
| Anne Cappel, Senior Vice President General Counsel, Company Secretary | ||
| Leah Belsky, Senior Vice President Chief Enterprise Officer | ||
| Kimberly Caldbeck, Senior Vice President Chief Marketing Officer | ||
| Carmen Chang, Independent Director | ||
| Cam Carey, Head Relations | ||
| Chun Wong, Senior Vice President - Engineering | ||
| Scott Sandell, Lead Independent Director | ||
| Jeffrey Grace, Vice President Corporate Controller | ||
| Andrew Ng, Chairman of the Board | ||
| Daphne Koller, Co-Founder | ||
| Jeffrey Maggioncalda, President, Chief Executive Officer, Director | ||
| Marcelo Modica, Chief Officer | ||
| Betty Vandenbosch, Senior Vice President Chief Content Officer | ||
| Michele Meyers, Vice President Accounting, and Chief Accounting Officer | ||
| L Doerr, Independent Director | ||
| Amanda Clark, Independent Director | ||
| Chun Yu, Senior Vice President - Engineering | ||
| Marni Stein, Chief Officer | ||
| Alan Cardenas, General SVP | ||
| Richard Jacquet, Senior Vice President Chief People Officer | ||
| Sabrina Simmons, Independent Director | ||
| Timothy Hannan, Chief Officer | ||
| Xueyan Wang, Senior Vice President - Services | ||
| William Billings, Vice President - Accounting, and Chief Accounting Officer |
Coursera Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Coursera a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Return On Equity | -0.13 | ||||
| Return On Asset | -0.0713 | ||||
| Profit Margin | (0.11) % | ||||
| Operating Margin | (0.12) % | ||||
| Current Valuation | 389.92 M | ||||
| Shares Outstanding | 158.4 M | ||||
| Shares Owned By Insiders | 5.47 % | ||||
| Shares Owned By Institutions | 81.52 % | ||||
| Number Of Shares Shorted | 10.01 M | ||||
| Price To Book | 1.86 X |
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
| 0.7 | DAO | Youdao Inc | PairCorr |
| 0.63 | QSG | QuantaSing Group | PairCorr |
| 0.56 | GHC | Graham Holdings | PairCorr |
| 0.51 | JZ | Jianzhi Education | PairCorr |
| 0.48 | 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.