Charles Salameh - Sangoma Technologies CEO Director
| STC Stock | 8.70 0.10 1.16% |
CEO
Charles Salameh is CEO Director of Sangoma Technologies Corp
| Address | 100 Renfrew Drive, Markham, ON, Canada, L3R 9R6 |
| Phone | 905 474 1990 |
| Web | https://sangoma.com |
Sangoma Technologies Management Efficiency
As of the 26th of November 2024, Return On Equity is likely to grow to 0.67, while Return On Tangible Assets are likely to drop (3.00). At this time, Sangoma Technologies' Debt To Assets are very stable compared to the past year. Sangoma Technologies' management efficiency ratios could be used to measure how well Sangoma Technologies manages its routine affairs as well as how well it operates its assets and liabilities.Similar Executives
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| Daniel Matlow | Vitalhub Corp | 61 | |
| William Wood | Sylogist | 61 | |
Management Performance
| Return On Equity | -0.0311 | ||||
| Return On Asset | -0.0015 |
Sangoma Technologies Corp Leadership Team
Elected by the shareholders, the Sangoma Technologies' board of directors comprises two types of representatives: Sangoma Technologies inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Sangoma. The board's role is to monitor Sangoma Technologies' management team and ensure that shareholders' interests are well served. Sangoma Technologies' inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Sangoma Technologies' outside directors are responsible for providing unbiased perspectives on the board's policies.
| David Moore, Exec Devel | ||
| Jamie Minner, Chief Officer | ||
| Samantha Reburn, General Secretary | ||
| Nenad Corbic, Chief Officer | ||
| Jeremy Wubs, Chief Officer | ||
| PEng BASc, CEO Pres | ||
| Lawrence Stock, Chief Officer | ||
| Mark Strachan, Chief Officer | ||
| Paula Griffo, Managing Supply | ||
| Jim Machi, Chief Officer | ||
| Monica Walton, Chief Officer | ||
| Joel Kappes, Chief Officer | ||
| Charles Salameh, CEO Director | ||
| Frederic Dickey, VP Services |
Sangoma 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 Sangoma Technologies 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 | -0.0311 | ||||
| Return On Asset | -0.0015 | ||||
| Profit Margin | (0.03) % | ||||
| Operating Margin | (0.01) % | ||||
| Current Valuation | 379.41 M | ||||
| Shares Outstanding | 33.54 M | ||||
| Shares Owned By Insiders | 27.66 % | ||||
| Shares Owned By Institutions | 31.20 % | ||||
| Number Of Shares Shorted | 167.36 K | ||||
| Price To Book | 0.81 X |
Pair Trading with Sangoma Technologies
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 Sangoma Technologies 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 Sangoma Technologies will appreciate offsetting losses from the drop in the long position's value.Moving together with Sangoma Stock
Moving against Sangoma Stock
The ability to find closely correlated positions to Sangoma Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sangoma Technologies 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 Sangoma Technologies - 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 Sangoma Technologies Corp to buy it.
The correlation of Sangoma Technologies 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 Sangoma Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sangoma Technologies Corp 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 Sangoma Technologies 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.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Sangoma Technologies Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.