Importance of Financial Analysis for Published Financial Information to Predict the Stocks Behavior (Case study-ASE –Industrial Sector-Jordan)

Abstract

This study aimed to identify the dimensions of the financial analysis and its advantages and how to benefit from it; in predicting stock prices by testing group of financial ratios and find a model quantitatively can be relied upon to predict the price per share of the industrial sector in the Amman Stock Exchange in order to help investors make rational decisions when they the investment process. To achieve this purpose has been tested three financial ratios for a sample of 30 companies listed their shares in the financial market, where data has been relying on published financial statements for its annual information.

These ratios have been analyzed using the method of statistical known as a multiple regression to find the best model for the industrial sector of the financial market, which includes group of ratios (Many Variables) of Finance in which they can predict the price of stock in companies listed on the Amman Stock Exchange by this classification. Has been reached model for the industry where it appeared that the industry was affected by several variables affect the share price of this sector is the ratio of market value to book value and the percentage of the book value per ordinary share and the study concluded that it can rely on a set of financial ratios for each of the sectors (classified by the Palestine Securities Exchange) to predict the price of the arrow, study also recommended increased attention to the financial statements and transparency in the preparation and disclosure of the data and prepared according to international accounting standards, and it can an investor rely on financial analysis of the financial statements when making investment decisions.

Keywords: Capital Asset Pricing Model (CAP.M), General Accounting Accepted Principle (GAAP), Earnings per Share (EPS), Book Value of share, Market Value of share, Stock Price.