Data Agro Stock Shares Outstanding
| DAAG Stock | 76.90 1.64 2.18% |
Data Agro fundamentals help investors to digest information that contributes to Data Agro's financial success or failures. It also enables traders to predict the movement of Data Stock. The fundamental analysis module provides a way to measure Data Agro'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 Data Agro stock.
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Data Agro Company Shares Outstanding Analysis
Data Agro's Outstanding Shares are shares of common stock of a public company that were purchased by investors after they were authorized and issued by the company to the public. Outstanding Shares are typically reported on fully diluted basis, including exotic instruments such as options, or convertibles bonds.
Outstanding shares that are stated on company Balance Sheet are used when calculating many important valuation and performance indicators including Return on Equity, Market Cap, EPS and many others.
| Competition |
Based on the latest financial disclosure, Data Agro has 0.0 of shares currently outstending. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as Food & Tobacco (which currently averages 0.0) industry. This indicator is about the same for all Pakistan stocks average (which is currently at 0.0).
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About Data Agro Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Agro's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Agro using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Agro 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.
Please read more on our fundamental analysis page.
Pair Trading with Data Agro
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 Agro 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 Agro will appreciate offsetting losses from the drop in the long position's value.Moving against Data Stock
| 0.83 | MARI | Mari Petroleum Split | PairCorr |
| 0.76 | THCCL | Thatta Cement | PairCorr |
| 0.61 | REWM | Reliance Weaving Mills | PairCorr |
| 0.41 | FFL | Fauji Foods | PairCorr |
| 0.41 | LOADS | Loads | PairCorr |
The ability to find closely correlated positions to Data Agro 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 Agro 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 Agro - 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 Agro to buy it.
The correlation of Data Agro 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 Agro moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Agro 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 Agro 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.Other Information on Investing in Data Stock
Data Agro financial ratios help investors to determine whether Data Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Data with respect to the benefits of owning Data Agro security.