Datalex Return On Asset vs. Shares Owned By Insiders

DLE Stock  EUR 0.35  0.01  2.78%   
Based on the key profitability measurements obtained from Datalex's financial statements, Datalex may not be well positioned to generate adequate gross income at the moment. It has a very high risk of underperforming in January. Profitability indicators assess Datalex's ability to earn profits and add value for shareholders.
For Datalex profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Datalex to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Datalex utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Datalex's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Datalex over time as well as its relative position and ranking within its peers.
  
Check out Investing Opportunities.
Please note, there is a significant difference between Datalex's value and its price as these two are different measures arrived at by different means. Investors typically determine if Datalex is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Datalex's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Datalex Shares Owned By Insiders vs. Return On Asset Fundamental Analysis

Comparative valuation techniques use various fundamental indicators to help in determining Datalex's current stock value. Our valuation model uses many indicators to compare Datalex value to that of its competitors to determine the firm's financial worth.
Datalex is one of the top stocks in return on asset category among its peers. It also is one of the top stocks in shares owned by insiders category among its peers . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Datalex's earnings, one of the primary drivers of an investment's value.

Datalex Shares Owned By Insiders vs. Return On Asset

Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.

Datalex

Return On Asset

 = 

Net Income

Total Assets

 = 
-0.22
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
Shares Owned by Insiders show the percentage of outstanding shares owned by insiders (such as principal officers or members of the board of directors) or private individuals and entities with over 5% of the total shares outstanding. Company executives or private individuals with access to insider information share information about a firm's operations that is not available to the general public.

Datalex

Insiders Shares

 = 

Executives Shares

+

Employees

 = 
28.52 %
Although the research on effects of insider trading on prices and volatility is still relatively inconclusive, and investors are advised to pay close attention to the distribution of equities among company's stakeholders to avoid many problems associated with the disclosure of price-sensitive information.

Datalex Shares Owned By Insiders Comparison

Datalex is currently under evaluation in shares owned by insiders category among its peers.

Datalex Profitability Projections

The most important aspect of a successful company is its ability to generate a profit. For investors in Datalex, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Datalex will eventually generate negative long term returns. The profitability progress is the general direction of Datalex's change in net profit over the period of time. It can combine multiple indicators of Datalex, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
Datalex plc develops and sells various distribution and retailing software products and solutions to the airline industry worldwide. Datalex plc was founded in 1985 and is headquartered in Dublin, Ireland. DATALEX PLC operates under SoftwareApplication classification in Ireland and is traded on Irland Stock Exchange. It employs 140 people.

Datalex Profitability Driver Comparison

Profitability drivers are factors that can directly affect your investment outlook on Datalex. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Datalex position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Datalex's important profitability drivers and their relationship over time.

Use Datalex in pair-trading

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.

Datalex Pair Trading

Datalex Pair Trading Analysis

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.
Pair CorrelationCorrelation Matching

Use Investing Themes to Complement your Datalex position

In addition to having Datalex in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Did You Try This Idea?

Run Aircraft Thematic Idea Now

Aircraft
Aircraft Theme
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Aircraft theme has 44 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Aircraft Theme or any other thematic opportunities.
View All  Next Launch

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.