Examobile Sa Stock Return On Asset
| EXA Stock | 3.60 0.00 0.00% |
Examobile SA fundamentals help investors to digest information that contributes to Examobile's financial success or failures. It also enables traders to predict the movement of Examobile Stock. The fundamental analysis module provides a way to measure Examobile's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Examobile stock.
Examobile |
Examobile SA Company Return On Asset Analysis
Examobile's 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.
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.
CompetitionBased on the latest financial disclosure, Examobile SA has a Return On Asset of 0.0. This indicator is about the same for the Consumer Cyclicals average (which is currently at 0.0) sector and about the same as Hotels & Entertainment Services (which currently averages 0.0) industry. This indicator is about the same for all Poland stocks average (which is currently at 0.0).
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About Examobile Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Examobile SA's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Examobile using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Examobile SA based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
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Pair Trading with Examobile
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 Examobile 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 Examobile will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Examobile could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Examobile 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 Examobile - 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 Examobile SA to buy it.
The correlation of Examobile 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 Examobile moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Examobile SA 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 Examobile 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 Examobile Stock Analysis
When running Examobile's price analysis, check to measure Examobile'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 Examobile is operating at the current time. Most of Examobile's value examination focuses on studying past and present price action to predict the probability of Examobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Examobile's price. Additionally, you may evaluate how the addition of Examobile to your portfolios can decrease your overall portfolio volatility.