Fixed ratio model (analytical study) in the Iraqi Stock Exchange (2014-2023)

Abstract

         The fixed proportions model represents a theoretical framework used in many statistical and economic analyzes to determine relationships between variables. This model is based on the basic assumption that the relationship between variables is constant and independent of time or context. This analytical study is characterized by an in-depth analysis of the concept of the model and its practical applications.

The study begins by presenting the model and defining its basic components, such as the resulting, independent and dependent variables, as well as explaining how to apply it in the context of scientific research. The analysis highlights the importance of using the model in identifying causes and causal relationships between variables, which helps in a deeper understanding of different phenomena.

In addition, challenges and limitations of using the model are highlighted, such as the assumption that relationships do not change over time and the ability of the model to predict the future behavior of variables. The analysis also discusses the expected results from using the model in scientific research and practical applications.

In conclusion, the study highlights the importance of the constant proportions model as a powerful analytical tool in scientific research, emphasizing the necessity of evaluating the conditions and contexts that allow it to be used efficiently for accurate and reliable conclusions.