Agroliga Financial Statements From 2010 to 2025
| AGL Stock | 31.40 0.60 1.95% |
Check Agroliga Group financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Agroliga Group's main balance sheet or income statement drivers, such as , as well as many indicators such as . Agroliga financial statements analysis is a perfect complement when working with Agroliga Group Valuation or Volatility modules.
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About Agroliga Group Financial Statements
Agroliga Group shareholders use historical fundamental indicators, such as revenue or net income, to determine how well the company is positioned to perform in the future. Although Agroliga Group investors may analyze each financial statement separately, they are all interrelated. The changes in Agroliga Group's assets and liabilities, for example, are also reflected in the revenues and expenses on on Agroliga Group's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Pair Trading with Agroliga Group
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 Agroliga Group 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 Agroliga Group will appreciate offsetting losses from the drop in the long position's value.Moving against Agroliga Stock
The ability to find closely correlated positions to Agroliga Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Agroliga Group 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 Agroliga Group - 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 Agroliga Group PLC to buy it.
The correlation of Agroliga Group 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 Agroliga Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Agroliga Group PLC 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 Agroliga Group 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 Agroliga Stock Analysis
When running Agroliga Group's price analysis, check to measure Agroliga Group'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 Agroliga Group is operating at the current time. Most of Agroliga Group's value examination focuses on studying past and present price action to predict the probability of Agroliga Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agroliga Group's price. Additionally, you may evaluate how the addition of Agroliga Group to your portfolios can decrease your overall portfolio volatility.