Jason Close - Computer Modelling Vice President CoFlow Commercialization
| CMG Stock | CAD 10.35 0.12 1.15% |
Insider
Jason Close is Vice President CoFlow Commercialization of Computer Modelling Group since 2020.
| Tenure | 4 years |
| Address | 3710 33 Street NW, Calgary, AB, Canada, T2L 2M1 |
| Phone | 403 531 1300 |
| Web | https://www.cmgl.ca |
Computer Modelling Management Efficiency
The company has return on total asset (ROA) of 0.1279 % which means that it generated a profit of $0.1279 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.3656 %, meaning that it generated $0.3656 on every $100 dollars invested by stockholders. Computer Modelling's management efficiency ratios could be used to measure how well Computer Modelling manages its routine affairs as well as how well it operates its assets and liabilities. As of the 26th of November 2024, Return On Tangible Assets is likely to drop to 0.14. In addition to that, Return On Capital Employed is likely to drop to 0.31. At this time, Computer Modelling's Asset Turnover is very stable compared to the past year.Similar Executives
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Management Performance
| Return On Equity | 0.37 | ||||
| Return On Asset | 0.13 |
Computer Modelling Leadership Team
Elected by the shareholders, the Computer Modelling's board of directors comprises two types of representatives: Computer Modelling inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Computer. The board's role is to monitor Computer Modelling's management team and ensure that shareholders' interests are well served. Computer Modelling'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, Computer Modelling's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Pramod Jain, CEO President | ||
| Kristina Mysev, Head Culture | ||
| Robert Smith, Independent Director | ||
| Krisztina MBA, Head Marketing | ||
| James Erdle, Vice President, USA and Latin America | ||
| Sheldon Harbinson, Head Operations | ||
| John Eng, Chief Officer | ||
| Mohammad Khalaf, Head Development | ||
| Sandra Balic, Chief Financial Officer, Vice President - Finance | ||
| Christopher Fong, Independent Director | ||
| Kenneth Dedeluk, CEO and President and Director | ||
| Rahul Jain, Head Operations | ||
| Ryan Schneider, President, Chief Executive Officer, Director | ||
| Patrick Jamieson, Independent Director | ||
| Judith Athaide, Independent Director | ||
| Kristin Mason, Manager Compliance | ||
| John Zaozirny, Independent Chairman of the Board | ||
| Mark Miller, Independent Director | ||
| Jason Close, Vice President CoFlow Commercialization | ||
| Kathy Krug, Corporate Secretary | ||
| Anjani Kumar, Vice President - Engineering Solutions and Marketing | ||
| Daniel Edelshaim, Head Legal | ||
| Peter Kinash, Independent Director | ||
| Kirsten Sklar, Corporate Secretary | ||
| Long Nghiem, Chief Technology Officer, Vice President - Research and Development | ||
| R Hicks, Vice President Eastern Hemisphere | ||
| Dave Montana, Vice Sales | ||
| Kelly Tomyn, Interim Chief Financial Officer and Vice President - Finance |
Computer 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 Computer Modelling 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 | 0.37 | ||||
| Return On Asset | 0.13 | ||||
| Profit Margin | 0.20 % | ||||
| Operating Margin | 0.19 % | ||||
| Current Valuation | 834.43 M | ||||
| Shares Outstanding | 81.95 M | ||||
| Shares Owned By Insiders | 1.03 % | ||||
| Shares Owned By Institutions | 52.86 % | ||||
| Number Of Shares Shorted | 1.08 M | ||||
| Price To Earning | 17.37 X |
Pair Trading with Computer Modelling
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 Computer Modelling 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 Computer Modelling will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Computer Modelling could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Computer Modelling 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 Computer Modelling - 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 Computer Modelling Group to buy it.
The correlation of Computer Modelling 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 Computer Modelling moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Computer Modelling 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 Computer Modelling 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.Other Information on Investing in Computer Stock
Computer Modelling financial ratios help investors to determine whether Computer Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Computer with respect to the benefits of owning Computer Modelling security.