Jason Lippert - Datawind CEO and Director
CEO
Mr. Jason D. Lippert is a Chief Executive Officer and Director of Drew Industries Incorporated. He was Chief Executive Officer of Lippert Components since February 2003. Mr. Lippert has over 15 years of experience with Drew and its subsidiaries where he has served in a wide range of leadership positions. Mr. Lippert has particular knowledge of the industries and customers to which we sell our products as well as extensive experience with strategic planning acquisitions marketing manufacturing and sale of our products. since 2013.
Age | 42 |
Tenure | 11 years |
Phone | 574 535-1125 |
Web | www.drewindustries.com |
Datawind Management Efficiency
The company has Return on Asset (ROA) of 12.74 % which means that for every $100 of assets, it generated a profit of $12.74. This is typical in the industry. Datawind's management efficiency ratios could be used to measure how well Datawind manages its routine affairs as well as how well it operates its assets and liabilities.The company reports 49.91 M of total liabilities with total debt to equity ratio (D/E) of 0.09, which may suggest the company is not taking enough advantage from financial leverage. Datawind has a current ratio of 2.39, indicating that it is in good position to pay out its debt commitments in time. Debt can assist Datawind until it has trouble settling it off, either with new capital or with free cash flow. So, Datawind'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 Datawind sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Datawind to invest in growth at high rates of return. When we think about Datawind's use of debt, we should always consider it together with cash and equity.
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Management Performance
Return On Asset | 12.74 |
Datawind Leadership Team
Elected by the shareholders, the Datawind's board of directors comprises two types of representatives: Datawind inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Datawind. The board's role is to monitor Datawind's management team and ensure that shareholders' interests are well served. Datawind'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, Datawind's outside directors are responsible for providing unbiased perspectives on the board's policies.
John Lowe, Independent Director | ||
David Reed, Independent Director | ||
Brian Hall, Corporate Controller and Assistant Secretary | ||
Hemant Nayak, CFO | ||
Morton Grostern, Director | ||
Jerry Tarasofsky, Director | ||
Jonathan Brockhouse, Non-Executive Independent Director | ||
Jason Lippert, CEO and Director | ||
Daniel Hilton, CFO, Secretary | ||
Brendan Deely, Independent Director | ||
Frederick Hegi, Independent Director | ||
Tracy Graham, Independent Director | ||
Robert Kuhns, Chief Legal Officer, VP and Secretary | ||
Jamie Schnur, Chief Administrative Officer | ||
David Smith, CFO | ||
Leigh Abrams, Chairman Emeritus | ||
Donald Gunn, COO | ||
Scott Mereness, Pres and COO | ||
Suneet Tuli, President CEO, Director | ||
Bria Hall, Corporate Controller | ||
James Gero, Independent Chairman of the Board | ||
Raja Tuli, Executive Co-Chairman of the Board, CTO | ||
Frank Crespo, Director | ||
Nick Fletcher, Chief Human Resource Officer | ||
Kieran OSullivan, Director | ||
Viscount Bearsted, Independent Non-Executive Co-Chairman, Lead Director |
Datawind 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 Datawind 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 Asset | 12.74 | |||
Profit Margin | 5.30 % | |||
Operating Margin | 11.81 % | |||
Current Valuation | 1.55 B | |||
Shares Outstanding | 24.3 M | |||
Shares Owned By Insiders | 4.69 % | |||
Shares Owned By Institutions | 96.20 % | |||
Number Of Shares Shorted | 1.16 M | |||
Price To Earning | 23.23 X | |||
Price To Book | 5.10 X |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Datawind in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Datawind's short interest history, or implied volatility extrapolated from Datawind options trading.
Pair Trading with Datawind
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 Datawind 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 Datawind will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Chubb could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Chubb 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 Chubb - 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 Chubb to buy it.
The correlation of Chubb 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 Chubb moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Chubb 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 Chubb 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 housing. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Consideration for investing in Datawind Stock
If you are still planning to invest in Datawind 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 Datawind's history and understand the potential risks before investing.
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