Search Results for asymmetry
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 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
This study aims to test whether the institutions listed on the Iraq Stock Exchange have a significant correlation between the level of conservative accounting practice with the level of market share returns during the Coronavirus pandemic period as one of the policies to confront the economic repercussions of the Coronavirus pandemic. Furthermore, the sample included institutions listed on the Iraq Stock Exchange during the 2019 and 2020 years, i.e., the period before the Coronavirus pandemic and during the Coronavirus pandemic for the purpose of comparison. The market value to book value model was used, and the study found that conservative institutions had achieved the highest level of market share prices compared to non-conservative institutions, and the study also found that conservative institutions during the Coronavirus pandemic had achieved a higher correlation coefficient during the pandemic compared to the pre-pandemic period, where it reached Pearson correlation coefficient (0.932) during the 2020 year for conservative institutions, while the Pearson correlation coefficient between conservatism and the market value of shares reached (0.853) during 2019,and A study found that the effect of accounting conservatism on market share prices for the year 2019 amounted to (0.731), which is significant regression, and in 2020 it reached (0.852), which is a significant regression, that is, the effect increased by (0.121) during the pandemic period , and this is evidence of the market need for conservatism. Therefore, our study recommends the adoption of accounting conservatism, but in a reasonable manner without exaggeration to face challenges and crises, because the market trusts more conservative accounting policies compared to the impulsive policy.
Abstract
This study aims to analyze the impact of external audit efficiency and the strengthening of internal control systems on reducing financial manipulation, as key accounting tools for combating poverty-driven corruption in contemporary economic environments. The study adopts a descriptive-analytical approach through reviewing relevant accounting literature and international auditing standards to develop a theoretical framework explaining the relationship between audit quality and the effectiveness of internal controls in minimizing financial manipulation and irregularities. The findings indicate that higher levels of external audit efficiency, combined with a strong and integrated internal control system, significantly enhance the credibility of financial reports and reduce information asymmetry among related parties. Furthermore, adherence to professional and regulatory standards improves the quality of financial disclosure and transparency, thereby increasing investor confidence and supporting economic stability. The study concludes that developing auditing and control mechanisms is essential for reducing financial corruption and mitigating its social impacts related to poverty
Abstract
This research aims to analyze the asymmetric impact of the Global Innovation Index (GII) on Gross Domestic Product (GDP) growth in South Korea over the period (2004–2024). It further explores the potential for adapting this experience within the economies of Iraq, Egypt, and Jordan. Utilizing a Nonlinear Autoregressive Distributed Lag (NARDL) model, the study examines the dynamics of this relationship in both the short and long runs. The empirical findings reveal a nonlinear cointegration relationship, indicating that the South Korean economy exhibits hyper-sensitivity toward negative innovation shocks. Specifically, a 1% negative shock in innovation leads to a growth contraction of approximately 1.65%, whereas the growth response to positive shocks does not exceed 0.33%. Furthermore, CUSUM and CUSUMQ tests confirmed the structural stability of the model over two decades. The research concludes that the innovation gap in the studied Arab countries necessitates policies that support innovation budgets to ensure the stability of structural growth parameters, independent of fluctuations in traditional sectors.