Data Agro Stock Current Valuation
| DAAG Stock | 107.17 2.91 2.79% |
Valuation analysis of Data Agro helps investors to measure Data Agro's intrinsic value by examining its available valuation indicators, including the cash flow records, the balance sheet account changes and income statement patterns.
Overvalued
Today
Please note that Data Agro's price fluctuation is very steady at this time. Calculation of the real value of Data Agro is based on 3 months time horizon. Increasing Data Agro's time horizon generally increases the accuracy of value calculation and significantly improves the predictive power of the methodology used.
Since Data Agro is currently traded on the exchange, buyers and sellers on that exchange determine the market value of Data Stock. However, Data Agro's intrinsic value may or may not be the same as its current market price, in which case there is an opportunity to profit from the mispricing, assuming the market price will eventually merge with its intrinsic value. | Historical | Market 107.17 | Real 91.31 | Hype 107.17 | Naive 91.49 |
The real value of Data Stock, also known as its intrinsic value, is the underlying worth of Data Agro Company, which is reflected in its stock price. It is based on Data Agro's financial performance, growth prospects, management team, or industry conditions. The intrinsic value of Data Agro's stock can be calculated using various methods such as discounted cash flow analysis, price-to-earnings ratio, or price-to-book ratio. That value may differ from its current market price, which is determined by supply and demand factors such as investor sentiment, market trends, or news.
Estimating the potential upside or downside of Data Agro helps investors to forecast how Data stock's addition to their portfolios will impact the overall performance. We also use other valuation drivers to help us estimate the true value of Data Agro more accurately as focusing exclusively on Data Agro's fundamentals will not take into account other important factors: Data Agro Company Current Valuation Analysis
Data Agro's Enterprise Value is a firm valuation proxy that approximates the current market value of a company. It is typically used to determine the takeover or merger price of a firm. Unlike Market Cap, this measure takes into account the entire liquid asset, outstanding debt, and exotic equity instruments that the company has on its balance sheet. When a takeover occurs, the parent company will have to assume the target company's liabilities but will take possession of all cash and cash equivalents.
Enterprise Value can be a useful tool to compare companies with different capital structures. Long term liability and current cash or cash equivalents can have a huge impact on market valuation of a given company.
| Competition |
In accordance with the recently published financial statements, Data Agro has a Current Valuation of 0.0. 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).
Data Agro is currently under evaluation in current valuation category among its peers. After adjusting for long-term liabilities, total market size of Food & Tobacco industry is currently estimated at about 0.0. Data Agro adds roughly 0.0 in current valuation claiming only tiny portion of equities under Food & Tobacco industry.
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
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.