Timothy Vance - Data Call Co-Founder, CEO and President COO and Director
| DCLT Stock | USD 0 0.0002 11.76% |
CEO
Mr. Timothy E. Vance is Chief Executive Officer, Chief Operating Officer, Director of Data Call Technologies Inc. He is the founder of the Company, has served as one of our Directors since June 2003, as our Chief Operating Officer since January 2007 and also as our Chief Executive Officer since July 2008. Mr. Vance was part of the Data Call management team since our inception. Prior to founding Data Call, Mr. Vance was employed at QVS Wireless Corporationrationration. since 2008.
| Age | 56 |
| Tenure | 16 years |
| Phone | 832 230 2376 |
| Web | https://www.datacalltech.com |
Data Call Management Efficiency
The company has return on total asset (ROA) of 0.034 % which means that it generated a profit of $0.034 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.4686 %, meaning that it created $0.4686 on every $100 dollars invested by stockholders. Data Call's management efficiency ratios could be used to measure how well Data Call manages its routine affairs as well as how well it operates its assets and liabilities.Management Performance
| Return On Equity | 0.47 | |||
| Return On Asset | 0.034 |
Data Call Technologi Leadership Team
Elected by the shareholders, the Data Call's board of directors comprises two types of representatives: Data Call 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 Call's management team and ensure that shareholders' interests are well served. Data Call'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, Data Call's outside directors are responsible for providing unbiased perspectives on the board's policies.
| James Tevis, CTO Engineer | ||
| Timothy Vance, Co-Founder, CEO and President COO and Director | ||
| John Schafer, Director | ||
| Gary Woerz, CFO and Director |
Data Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right pink sheet is not an easy task. Is Data Call 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 | 0.47 | |||
| Return On Asset | 0.034 | |||
| Profit Margin | 0.04 % | |||
| Operating Margin | 0.01 % | |||
| Current Valuation | 1.21 M | |||
| Shares Outstanding | 157.5 M | |||
| Shares Owned By Insiders | 24.69 % | |||
| Price To Book | 18.48 X | |||
| Price To Sales | 1.68 X | |||
| Revenue | 580.23 K |
Pair Trading with Data Call
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 Call 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 Call will appreciate offsetting losses from the drop in the long position's value.Moving together with Data Pink Sheet
| 0.66 | SNPS | Synopsys Financial Report 15th of May 2024 | PairCorr |
Moving against Data Pink Sheet
| 0.59 | BKLRF | Berkeley Energy | PairCorr |
The ability to find closely correlated positions to Data Call 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 Call 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 Call - 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 Call Technologi to buy it.
The correlation of Data Call 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 Call moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Call Technologi 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 Call 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, which includes a position in Data Call Technologi. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Data Pink Sheet analysis
When running Data Call's price analysis, check to measure Data Call's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Data Call is operating at the current time. Most of Data Call's value examination focuses on studying past and present price action to predict the probability of Data Call's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Call's price. Additionally, you may evaluate how the addition of Data Call to your portfolios can decrease your overall portfolio volatility.
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