Richard Kellam - Data Communications CEO President

DCM Stock  CAD 1.89  0.12  6.78%   

CEO

Richard Kellam is CEO President of Data Communications Management
Age 58
Address 9195 Torbram Road, Brampton, ON, Canada, L6S 6H2
Phone905 791 3151
Webhttps://www.datacm.com

Data Communications Management Efficiency

The company has return on total asset (ROA) of 0.0649 % which means that it generated a profit of $0.0649 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of (0.0861) %, meaning that it generated substantial loss on money invested by shareholders. Data Communications' management efficiency ratios could be used to measure how well Data Communications manages its routine affairs as well as how well it operates its assets and liabilities. As of the 23rd of November 2024, Return On Capital Employed is likely to grow to 0.11, while Return On Tangible Assets are likely to drop (0.04). At this time, Data Communications' Asset Turnover is very stable compared to the past year.
Data Communications Management has accumulated 257.13 M in total debt. Data Communications has a current ratio of 1.13, suggesting that it is not liquid enough and may have problems paying out its financial obligations in time and when they become due. Debt can assist Data Communications until it has trouble settling it off, either with new capital or with free cash flow. So, Data Communications' shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Data Communications sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Data to invest in growth at high rates of return. When we think about Data Communications' use of debt, we should always consider it together with cash and equity.

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DATA Communications Management Corp. provides business communication solutions in North America. DATA Communications Management Corp. was founded in 1959 and is based in Brampton, Canada. DATA COMMUNICATIONS operates under Business Services classification in Canada and is traded on Toronto Stock Exchange. It employs 1250 people. Data Communications Management (DCM) is traded on Toronto Exchange in Canada and employs 1,800 people. Data Communications is listed under Commercial Services & Supplies category by Fama And French industry classification.

Management Performance

Data Communications Leadership Team

Elected by the shareholders, the Data Communications' board of directors comprises two types of representatives: Data Communications inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Data. The board's role is to monitor Data Communications' management team and ensure that shareholders' interests are well served. Data Communications' inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Data Communications' outside directors are responsible for providing unbiased perspectives on the board's policies.
Christine Custodio, Senior Operations
Richard Kellam, CEO President
Shelly Anwyll, VP America
Rael Fisher, Chief Officer
Sharad Verma, Senior Marketing
Jason CFA, Senior Leadership
Genevieve Gravel, Vice Experience
Steve Livingstone, Senior Digital
James Lorimer, CFO Secretary
Jason Sharpe, Senior Leadership
Barbara FranovicWilkins, VP Marketing

Data 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 Data Communications 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.

Pair Trading with Data Communications

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 Data Communications 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 Data Communications will appreciate offsetting losses from the drop in the long position's value.

Moving against Data Stock

  0.76FFH-PM Fairfax FinancialPairCorr
  0.75FFH Fairfax FinancialPairCorr
  0.73FFH-PD Fairfax FinancialPairCorr
  0.66FFH-PE Fairfax FinancialPairCorr
  0.64FFH-PH Fairfax FinancialPairCorr
The ability to find closely correlated positions to Data Communications could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Communications 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 Data Communications - 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 Data Communications Management to buy it.
The correlation of Data Communications 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 Data Communications moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Communications 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 Data Communications 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Data Stock

Data Communications financial ratios help investors to determine whether Data 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 Data with respect to the benefits of owning Data Communications security.