Search Results for common-stock
Abstract
The study aims to achieve several objectives, the most important of which is to analyze the nature of the financing behavior adopted by business companies, by measuring the impact of financing behavior—represented by short-term debt, common stock, and retained earnings—on Economic Value Added (EVA) using the EVA model for a selected sample of business companies listed on the Iraq Stock Exchange during the period from 2005 to 2024. The study relied on the descriptive-analytical approach to present the theoretical and analytical aspects of the research variables, and the quantitative approach to test the research hypotheses in order to address the research problem, which revolves around the question: To what extent does financing behavior affect the Economic Value Added of industrial companies listed on the Iraq Stock Exchange? The study assumes a main hypothesis positing the existence of a statistically significant impact of financing behavior on the economic value of industrial companies. To test the research hypotheses, time series data and multiple linear regression analysis were employed. The results revealed a statistically significant negative impact of common stock financing on Economic Value Added, a statistically significant positive impact of retained earnings financing on Economic Value Added, and no significant impact of short-term financing on Economic Value Added.
The study concludes with a set of recommendations for financial decision-makers in the business companies of the study sample to help enhance their economic value, including: adopting an effective financing policy that ensures the optimal use of shares as a financing tool, achieving a balance between equity financing and debt financing.
Abstract
This research aims to study the impact of information asymmetry on stock price forecasting within the context of the informational content of announcements from a sample of companies listed on the stock exchange. This is achieved by identifying companies that have distributed dividends for at least three consecutive years. Accordingly, the "event window" was employed, providing a systematic framework for studying stock movements on specific dates. This framework allows the companies in the research sample to understand how financial markets react to new information about the market under study. The focus is on the role of the event window in measuring informational content. This emphasis on the event window stems primarily from recent trends toward announcing earnings during after-market hours. It is also attributed to the lack of systematic research on the length of the event window, which is when the benefit derived from earnings information is at its maximum. The researchers used the Multiple regression test, the T-Test, and the Scenario style to test the research hypothesis, which led to the conclusion that financial returns are only achieved through the informational content of the profit distribution announcement, and that the maximum window for informational content includes only the day of trading of the announcement. This view reflects the event window that maximizes information related to profits by relying on the timing of profit announcements during non-trading hours versus trading hours.
Abstract
The research explores to test the Fama-French five-dimensional model in analyzing the returns of ordinary shares using profitability and investment as a measure of the model. Financial data needed for research. To solve the research problem, some mathematical laws and related statistical methods were adopted to analyze the data of the companies covered by the research. The results of the research indicated that the factors of profitability and investment, respectively, are the most important factors affecting the returns of the shares of the sample companies and their market value, on the one hand, and on the other hand, it requires the use of a five-dimensional Fama-French model to analyze the returns of ordinary shares from companies and the clarity and transparency of their financial information so that The financial analyst can use this model and rely on it in estimating stock returns, in addition to the existence of an efficient market in which the research sample companies operate, in addition to the ability of the F-F-5 model to explain the returns of the shares of the research sample companies by (67%), and this indicates that it contains (67%) ) of the risk factors that accompany its investment.
Keywords: profitability, investment, stock returns, Fama-French five-dimensional model