Avril Halpin - Datalex Director HR
| DLE Stock | EUR 0.35 0.01 2.78% |
Insider
Avril Halpin is Director HR of Datalex
| Phone | 353 1 806 3500 |
| Web | https://www.datalex.com |
Datalex Management Efficiency
The company has return on total asset (ROA) of (0.2186) % which means that it has lost $0.2186 on every $100 spent on assets. This is way below average. Datalex's management efficiency ratios could be used to measure how well Datalex manages its routine affairs as well as how well it operates its assets and liabilities.Similar Executives
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Management Performance
| Return On Asset | -0.22 |
Datalex Leadership Team
Elected by the shareholders, the Datalex's board of directors comprises two types of representatives: Datalex inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Datalex. The board's role is to monitor Datalex's management team and ensure that shareholders' interests are well served. Datalex'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, Datalex's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Ellen Tracy, VP Operations | ||
| Neil McLoughlin, Chief Officer | ||
| Conor OSullivan, Chief Officer | ||
| Avril Halpin, Director HR | ||
| Brian Lewis, Chief Officer | ||
| Dan Creedon, CFO Director | ||
| Sean Corkery, CEO Director | ||
| Bryan Porter, Chief Officer |
Datalex 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 Datalex 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 | -0.22 | |||
| Profit Margin | (0.18) % | |||
| Operating Margin | (0.26) % | |||
| Current Valuation | 68.94 M | |||
| Shares Outstanding | 132.68 M | |||
| Shares Owned By Insiders | 28.52 % | |||
| Price To Book | 135.82 X | |||
| Price To Sales | 3.08 X | |||
| Revenue | 25.47 M | |||
| Gross Profit | 12.22 M |
Pair Trading with Datalex
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 Datalex 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 Datalex will appreciate offsetting losses from the drop in the long position's value.Moving together with Datalex Stock
Moving against Datalex Stock
| 0.72 | C5H | Cairn Homes PLC | PairCorr |
| 0.66 | RYA | Ryanair Holdings plc | PairCorr |
| 0.52 | 8GW | Great Western Mining | PairCorr |
The ability to find closely correlated positions to Datalex could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datalex 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 Datalex - 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 Datalex to buy it.
The correlation of Datalex 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 Datalex moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datalex 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 Datalex 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.Additional Tools for Datalex Stock Analysis
When running Datalex's price analysis, check to measure Datalex'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 Datalex is operating at the current time. Most of Datalex's value examination focuses on studying past and present price action to predict the probability of Datalex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datalex's price. Additionally, you may evaluate how the addition of Datalex to your portfolios can decrease your overall portfolio volatility.