Search Results for investment-decisions
Abstract
Accounting information is a vital element and an important basis in evaluating the performance of companies and an important tool in formulating their policies and making future decisions, especially with regard to investment decisions in securities, especially if this information is prepared in accordance with local or international principles and standards, which gives it quality and effectiveness in its use. The problem of the research lies in the accounting information is still unclear in the financial reports, which leads to difficulty for investors in making their investment decisions regarding buying and selling shares in the Iraqi Stock Exchange. The research aims to study the relationship and impact between the quality of accounting information and the investment decision-making process, and to highlight the importance of the accounting information contained in the reports. The financial statements of companies registered in the Iraqi stock market are for investors to help them make their investment decisions. In his study, the researcher used the questionnaire form method in collecting data. Among the most important results are: Individual Iraqi investors find that the accounting information contained in the financial reports is clear, understandable, and sufficient for the purpose of making their investment decisions. Iraqi individual investors need accounting information when making their decisions about buying and selling shares on the Iraqi Stock Exchange, and reading financial reports greatly affects their investment decisions. The most important recommendations: Work to increase individual investors’ awareness of the importance of the Board of Directors’ letter when making their investment decisions.
Abstract
Intangible assets are important for many establishments in most sectors, such as the industrial ones, and the need to measure them to reduce the volume of risks, so the research dealt with the issue of measuring intangible assets and their impact on investment decisions in shares, where the problem of research is embodied in the intangible and intangible existence of intangible assets, which makes The process of measuring it accounting "is a difficult and complex process and includes many financial risks related to the uncertainty in this regard, which gives a" large "aspect of the difficulty in linking it with investor decisions and determining its impact on these decisions. Therefore, the research aims to determine the extent of the impact of measuring Intangible assets in investment decisions in companies through their influence on the market values of their shares,The research is based on testing the following hypothesis: “The measurement of intangible assets affects investment decisions by causing fluctuations in the market value of companies’ shares. ”A number of conclusions were drawn up, the most important of which are: The relationship between the ratios and amounts of intangible assets on the one hand and the market values of companies’ shares on the one hand was taken. Other, the shape and manner of fluctuation, as they are direct and opposite, and from year to year, and the reason for this fluctuation is that the values and ratios of intangible assets are only one of a number of factors that affect the behavior and decisions of investors in companies' shares through their influence on the decisions of buying and selling their shares. It affects its values in the financial market indirectly, and the research came up with a number of recommendations, the most important of which are: studying and monitoring the behavior of investors, especially their decisions related to buying and selling companies' shares, and working to reduce the negative impact of financial information related to intangible assets on these decisions and behaviors and its reflection on the market values of shares .
Abstract
This study aims to demonstrate the impact of announcing the distribution of dividends in light of information asymmetry and in light of the phenomenon of terrorism for the purpose of predicting stock prices for companies listed on the Iraqi Stock Exchange. The study was applied to a sample of various market sectors, taking into account the diversity in the sectors, which included Mosul Dam Company that met the conditions of the study, which identified the companies that distributed dividends for two consecutive years (2014-2015), and the event study method was used with a (40) day event window with a period of (20) days before and after the event to measure the information asymmetry, as the forecasting method was adopted to identify the effects. The future of the dividend decision depends on investors' decisions in light of conditions of instability. In addition, two statistical methods were used to test the study's hypotheses, namely the regression analysis method and the scenario method. The study reached a set of conclusions, the most important of which is the possibility of achieving extraordinary returns by relying on the informational content of the dividend dividend. There is also a significant impact Statistical significance for the dividend decision due to information asymmetry. The scenario method contributes to predicting stock prices better than the traditional method. One of the most important recommendations reached by the study is the necessity of adopting scientific methods to measure the impact of market-related terrorist events on the accuracy of financial results, especially the use of mathematical models to measure the impact. Market events on stock prices. It is also preferable to adopt the scenario method in predicting stock prices and financial performance and adopt it as a model that provides multiple options for financial decisions, in addition to not being satisfied with the extraordinary return as only one tool for making investment decisions, but rather other factors such as risk must be taken into account.
Abstract
This study aims to compare and improve the methods of building investment portfolios for a sample of Iraqi banks listed on the Iraq Stock Exchange, by comparing traditional methods such as the Markowitz model with modern techniques based on machine learning. The Markowitz model is key to balancing return and risk across the medium-variance optimization framework, a traditional model that many financial institutions rely on. The study focused on exploring the extent to which machine learning techniques such as key component analysis (PCA), supporting vector machine (SVM), logistic regression, and random forest can improve the performance of the investment portfolios of these banks in a volatile environment such as the Iraq Stock Exchange. These techniques rely on processing and analyzing huge financial data to discover hidden patterns and relationships that help increase returns and reduce risk more effectively compared to traditional methods. The historical financial data related to the shares and assets of the banks of the research sample in the Iraq Stock Exchange was used to evaluate the performance of portfolios according to indicators such as expected return, variance, and Sharpe ratio. The study aims to provide innovative solutions that help banks make smarter and more effective investment decisions, commensurate with the local market conditions and the economic and political challenges they face.