Terry Potter - Datawatch Independent Director
Director
Dr. Terry W. Potter is an Independent Director of Datawatch Corporationration since April 1998. Since January 1998 Dr. Potter was the President of Venture Solutions and Development Inc. which provides consulting services to high technology startup companies spinouts and Fortune 100 companies. Prior to 1992 Dr. Potter was a worldwide director of New Ventures for Digital Equipment Corporationrationration. From 1992 to 1997 he was the President of Modular Group the parent company of Advanced Modular Solutions and from 1994 to 1997 he was the President of Advanced Modular Solutions a whollyowned subsidiary of Modular Group which develops clientserver computers and solutions. Dr. Potter is the cofounder of Discover Why Inc. which was founded in 1997. Mr. Potters qualifications to serve on the Board of Directors include his experience as a senior executive and director of large public companies as well as his technical expertise. since 1998.
| Age | 67 |
| Tenure | 26 years |
| Phone | 978-441-2200 |
| Web | http://www.datawatch.com |
Datawatch Management Efficiency
The company has return on total asset (ROA) of (8.3) % which means that it has lost $8.3 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (31.34) %, meaning that it created substantial loss on money invested by shareholders. Datawatch's management efficiency ratios could be used to measure how well Datawatch manages its routine affairs as well as how well it operates its assets and liabilities.The company currently holds 8.48 M in liabilities with Debt to Equity (D/E) ratio of 31.9, indicating the company may have difficulties to generate enough cash to satisfy its financial obligations. Datawatch has a current ratio of 1.1, suggesting that it is not liquid enough and may have problems paying out its financial obligations when due. Debt can assist Datawatch until it has trouble settling it off, either with new capital or with free cash flow. So, Datawatch's 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 Datawatch sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Datawatch to invest in growth at high rates of return. When we think about Datawatch's use of debt, we should always consider it together with cash and equity.
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Management Performance
| Return On Equity | -31.34 | |||
| Return On Asset | -8.3 |
Datawatch Leadership Team
Elected by the shareholders, the Datawatch's board of directors comprises two types of representatives: Datawatch inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Datawatch. The board's role is to monitor Datawatch's management team and ensure that shareholders' interests are well served. Datawatch'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, Datawatch's outside directors are responsible for providing unbiased perspectives on the board's policies.
| David Mahoney, Independent Vice Chairman of the Board | ||
| Christopher Cox, Independent Director | ||
| Michael Morrison, CEO and President and Director | ||
| Donald Friedman, Director | ||
| Colin Mahony, Director | ||
| James Eliason, CFO, Principal Accounting Officer, VP of Fin., Treasurer and Secretary | ||
| Charles Gillman, Director | ||
| John Judge, Chief Revenue Officer and Sr. VP of Worldwide Sales | ||
| Andrew Batchelor, Vice President of EMEA Sales | ||
| Joan McArdle, Director | ||
| Ken Tacelli, Senior Vice President - Worldwide Sales | ||
| Richard Osborne, Independent Chairman of the Board | ||
| Terry Potter, Independent Director | ||
| Thomas Kelly, Independent Director | ||
| Sanjay Mistry, Vice President Controller | ||
| Randall Seidl, Director |
Datawatch 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 Datawatch 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 | -31.34 | |||
| Return On Asset | -8.3 | |||
| Profit Margin | (22.20) % | |||
| Operating Margin | (17.85) % | |||
| Current Valuation | 161.58 M | |||
| Shares Outstanding | 12.74 M | |||
| Shares Owned By Insiders | 18.22 % | |||
| Shares Owned By Institutions | 50.56 % | |||
| Number Of Shares Shorted | 44.57 K | |||
| Price To Earning | (28.05) X |
Pair Trading with Datawatch
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 Datawatch 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 Datawatch will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Datawatch information on this page should be used as a complementary analysis to other Datawatch's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Other Consideration for investing in Datawatch Stock
If you are still planning to invest in Datawatch check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Datawatch's history and understand the potential risks before investing.
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